diff --git a/package-lock.json b/package-lock.json
index dfdf8db4f..0526795cb 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -27,11 +27,13 @@
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         "file-saver": "^2.0.5",
         "history": "^5.3.0",
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         "i18next-chained-backend": "^4.5.0",
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         "jwt-decode": "^3.1.2",
+        "konva": "^9.3.11",
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         "moment": "^2.29.4",
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@@ -43,6 +45,7 @@
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         "react-i18next": "^13.3.1",
         "react-iframe": "^1.8.5",
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         "react-leaflet": "^4.2.1",
         "react-linkify": "^1.0.0-alpha",
         "react-redux": "^8.1.3",
@@ -4099,6 +4102,14 @@
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+    "node_modules/base64-arraybuffer": {
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+      "resolved": "https://registry.npmjs.org/base64-arraybuffer/-/base64-arraybuffer-1.0.2.tgz",
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@@ -6019,6 +6038,14 @@
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+      "resolved": "https://registry.npmjs.org/css-line-break/-/css-line-break-2.1.0.tgz",
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+      "dependencies": {
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+      }
+    },
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       "resolved": "https://registry.npmjs.org/css-loader/-/css-loader-6.11.0.tgz",
@@ -9135,6 +9162,18 @@
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+    "node_modules/html2canvas": {
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+      "resolved": "https://registry.npmjs.org/html2canvas/-/html2canvas-1.4.1.tgz",
+      "integrity": "sha512-fPU6BHNpsyIhr8yyMpTLLxAbkaK8ArIBcmZIRiBLiDhjeqvXolaEmDGmELFuX9I4xDcaKKcJl+TKZLqruBbmWA==",
+      "dependencies": {
+        "css-line-break": "^2.1.0",
+        "text-segmentation": "^1.0.3"
+      },
+      "engines": {
+        "node": ">=8.0.0"
+      }
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       "resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-6.1.0.tgz",
@@ -10097,6 +10136,17 @@
         "set-function-name": "^2.0.1"
       }
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+    "node_modules/its-fine": {
+      "version": "1.2.5",
+      "resolved": "https://registry.npmjs.org/its-fine/-/its-fine-1.2.5.tgz",
+      "integrity": "sha512-fXtDA0X0t0eBYAGLVM5YsgJGsJ5jEmqZEPrGbzdf5awjv0xE7nqv3TVnvtUF060Tkes15DbDAKW/I48vsb6SyA==",
+      "dependencies": {
+        "@types/react-reconciler": "^0.28.0"
+      },
+      "peerDependencies": {
+        "react": ">=18.0"
+      }
+    },
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       "resolved": "https://registry.npmjs.org/jest-worker/-/jest-worker-27.5.1.tgz",
@@ -10373,6 +10423,25 @@
         "node": ">=0.10.0"
       }
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+    "node_modules/konva": {
+      "version": "9.3.11",
+      "resolved": "https://registry.npmjs.org/konva/-/konva-9.3.11.tgz",
+      "integrity": "sha512-ZkFF4CXKZCDd2+6sBPA0y3hQ+X4uTqIS6JxTl3BEOFJzKr1tId+rxxJgtsk1FQIH3auuvnMj/rkbatUcf9C2Wg==",
+      "funding": [
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/lavrton"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/konva"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/lavrton"
+        }
+      ]
+    },
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+    "node_modules/react-konva": {
+      "version": "18.2.10",
+      "resolved": "https://registry.npmjs.org/react-konva/-/react-konva-18.2.10.tgz",
+      "integrity": "sha512-ohcX1BJINL43m4ynjZ24MxFI1syjBdrXhqVxYVDw2rKgr3yuS0x/6m1Y2Z4sl4T/gKhfreBx8KHisd0XC6OT1g==",
+      "funding": [
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/lavrton"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/konva"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/lavrton"
+        }
+      ],
+      "dependencies": {
+        "@types/react-reconciler": "^0.28.2",
+        "its-fine": "^1.1.1",
+        "react-reconciler": "~0.29.0",
+        "scheduler": "^0.23.0"
+      },
+      "peerDependencies": {
+        "konva": "^8.0.1 || ^7.2.5 || ^9.0.0",
+        "react": ">=18.0.0",
+        "react-dom": ">=18.0.0"
+      }
+    },
     "node_modules/react-leaflet": {
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       "resolved": "https://registry.npmjs.org/react-leaflet/-/react-leaflet-4.2.1.tgz",
@@ -12609,6 +12708,21 @@
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+    "node_modules/react-reconciler": {
+      "version": "0.29.2",
+      "resolved": "https://registry.npmjs.org/react-reconciler/-/react-reconciler-0.29.2.tgz",
+      "integrity": "sha512-zZQqIiYgDCTP/f1N/mAR10nJGrPD2ZR+jDSEsKWJHYC7Cm2wodlwbR3upZRdC3cjIjSlTLNVyO7Iu0Yy7t2AYg==",
+      "dependencies": {
+        "loose-envify": "^1.1.0",
+        "scheduler": "^0.23.2"
+      },
+      "engines": {
+        "node": ">=0.10.0"
+      },
+      "peerDependencies": {
+        "react": "^18.3.1"
+      }
+    },
     "node_modules/react-redux": {
       "version": "8.1.3",
       "resolved": "https://registry.npmjs.org/react-redux/-/react-redux-8.1.3.tgz",
@@ -14372,6 +14486,14 @@
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       "dev": true
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+    "node_modules/text-segmentation": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/text-segmentation/-/text-segmentation-1.0.3.tgz",
+      "integrity": "sha512-iOiPUo/BGnZ6+54OsWxZidGCsdU8YbE4PSpdPinp7DeMtUJNJBoJ/ouUSTJjHkh1KntHaltHl/gDs2FC4i5+Nw==",
+      "dependencies": {
+        "utrie": "^1.0.2"
+      }
+    },
     "node_modules/text-table": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
@@ -14900,6 +15022,14 @@
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+    "node_modules/utrie": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/utrie/-/utrie-1.0.2.tgz",
+      "integrity": "sha512-1MLa5ouZiOmQzUbjbu9VmjLzn1QLXBhwpUa7kdLUQK+KQ5KA9I1vk5U4YHe/X2Ch7PYnJfWuWT+VbuxbGwljhw==",
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diff --git a/package.json b/package.json
index f45aaa0c8..8add323b8 100644
--- a/package.json
+++ b/package.json
@@ -35,11 +35,13 @@
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     "file-saver": "^2.0.5",
     "history": "^5.3.0",
+    "html2canvas": "^1.4.1",
     "i18next": "^23.6.0",
     "i18next-browser-languagedetector": "^7.1.0",
     "i18next-chained-backend": "^4.5.0",
     "i18next-http-backend": "^2.3.1",
     "jwt-decode": "^3.1.2",
+    "konva": "^9.3.11",
     "lodash": "^4.17.21",
     "moment": "^2.29.4",
     "moment-timezone": "^0.5.43",
@@ -51,6 +53,7 @@
     "react-hook-form": "^7.47.0",
     "react-i18next": "^13.3.1",
     "react-iframe": "^1.8.5",
+    "react-konva": "^18.2.10",
     "react-leaflet": "^4.2.1",
     "react-linkify": "^1.0.0-alpha",
     "react-redux": "^8.1.3",
diff --git a/public/locales/ar/components/NavItems/tools/Alltools.json b/public/locales/ar/components/NavItems/tools/Alltools.json
index 1a8b1ccbe..38167e6f5 100644
--- a/public/locales/ar/components/NavItems/tools/Alltools.json
+++ b/public/locales/ar/components/NavItems/tools/Alltools.json
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\ No newline at end of file
diff --git a/public/locales/ar/components/NavItems/tools/Assistant.json b/public/locales/ar/components/NavItems/tools/Assistant.json
index a055f1319..7055a0759 100644
--- a/public/locales/ar/components/NavItems/tools/Assistant.json
+++ b/public/locales/ar/components/NavItems/tools/Assistant.json
@@ -1 +1 @@
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\u0628\u064a\u0627\u0646\u0627\u062a \u062a\u0639\u0631\u064a\u0641 \u0627\u0644\u0635\u0648\u0631\u0629/\u0627\u0644\u0641\u064a\u062f\u064a\u0648", "rights_text": "\u0627\u0633\u062a\u0631\u062f\u0627\u062f \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u062d\u0642\u0648\u0642 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0641\u0642\u0637", "forensic_text": "\u0643\u0634\u0641 \u0623\u064a \u062a\u0644\u0627\u0639\u0628 \u0628\u0627\u0644\u0635\u0648\u0631", "ocr_text": "\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0623\u064a \u0646\u0635 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629", "hyperpartisan_title": "\u062e\u062f\u0645\u0629 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u062a\u0634\u062f\u062f \u0627\u0644\u062d\u0632\u0628\u064a (Hyperpartisan)", "dbkf_text_title": "\u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u062d\u062b \u0639\u0646 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"\u0627\u0644\u0623\u0631\u0634\u064a\u0641", "source_credibility_warning": "\u062a\u0645 \u0630\u0643\u0631 \u0627\u0644\u0646\u0637\u0627\u0642 \u0623\u0648 \u0627\u0644\u062d\u0633\u0627\u0628 \u0641\u064a \u0639\u0645\u0644\u064a\u0629 \u0628\u062d\u062b \u0636\u062f:", "text_tooltip": "<b> \u0645\u0627 \u0647\u0630\u0627\u061f</b></br> \u064a\u062a\u0645 \u0639\u0631\u0636 \u0623\u064a \u0646\u0635 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u0631\u0627\u062c\u0647 \u0645\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0645\u062d\u062f\u062f \u0647\u0646\u0627</br></br><b>\u0643\u064a\u0641 \u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0627\u061f</b></br> \u064a\u062a\u0645 \u062a\u0634\u063a\u064a\u0644 \u0623\u062f\u0648\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0646\u0635\u0648\u0635 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0642\u0627\u0628\u0644 \u0647\u0630\u0627 \u0627\u0644\u0646\u0635: \u064a\u062a\u0645 <ul><li>\u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0644\u063a\u0629</li> \u0648\u0639\u0631\u0636\u0647\u0627 <li>\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0643\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0633\u0645\u0627\u0629 \u0641\u064a \u0627\u0644\u0646\u0635 \u0648\u0639\u0631\u0636\u0647\u0627 (\u0627\u0644\u0623\u0634\u062e\u0627\u0635 \u0648\u0627\u0644\u0645\u0648\u0627\u0642\u0639 \u0648\u0627\u0644\u0645\u0646\u0638\u0645\u0627\u062a \u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643)</li> <li>\u064a\u062a\u0645 \u0625\u0631\u0633\u0627\u0644 \u0623\u0648\u0644 500 \u062d\u0631\u0641 \u0641\u064a \u0627\u0644\u0646\u0635 \u0644\u064a\u062a\u0645 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646\u0647\u0627 \u0645\u0642\u0627\u0628\u0644 \u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0646\u062a\u062c\u0627\u062a \u0627\u0644\u0645\u0632\u064a\u0641\u0629 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\u0631\u0627\u062c\u0639 \u0647\u0630\u0647 \u0627\u0644\u0635\u0641\u062d\u0629: <a href=\"https://gatenlp.github.io/we-verify-app-assistant/supported-tools\" target=\"_blank\" rel=\"noopener noreferrer\"></a>", "sc_tooltip": "<b>\u0645\u0627 \u0647\u0630\u0627\u061f</b><br> \u0644\u0643\u0644 \u0639\u0646\u0648\u0627\u0646 URL \u064a\u062a\u0645 \u0625\u062f\u062e\u0627\u0644\u0647\u060c \u0646\u0642\u0648\u0645 \u0628\u062a\u0634\u063a\u064a\u0644 \u0627\u0644\u0646\u0637\u0627\u0642 (\u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0630\u0627 \u0639\u0646\u0648\u0627\u0646 URL \u063a\u064a\u0631 \u0645\u062a\u0639\u0644\u0642 \u0628\u0648\u0633\u0627\u0626\u0637 \u0627\u0644\u062a\u0648\u0627\u0635\u0644 \u0627\u0644\u0627\u062c\u062a\u0645\u0627\u0639\u064a) \u0623\u0648 \u0627\u0644\u062d\u0633\u0627\u0628 (\u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0630\u0627 \u0639\u0646\u0648\u0627\u0646 URL \u0645\u062a\u0639\u0644\u0642 \u0628\u0648\u0633\u0627\u0626\u0637 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\u0648\u0646\u0639\u062a\u0632\u0645 \u0645\u0646 \u062e\u0644\u0627\u0644\u0647\u0627 \u0625\u0639\u0644\u0627\u0645 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0623\u064a\u064b\u0627 \u0645\u0646 \u0627\u0644\u0645\u0635\u0627\u062f\u0631 \u0627\u0644\u062a\u064a \u0646\u062c\u0645\u0639 \u0645\u0646\u0647\u0627 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0646\u0637\u0627\u0642 / \u0627\u0644\u062d\u0633\u0627\u0628 \u0644\u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0645\u062f\u062e\u0644. \u0648\u064a\u062a\u0645 \u062a\u0642\u0633\u064a\u0645 \u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0625\u0644\u0649 \u062b\u0644\u0627\u062b\u0629 \u0623\u0646\u0648\u0627\u0639:<ul> <li> <strong> \u062a\u062d\u0630\u064a\u0631: </ strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0645\u0648\u062b\u0648\u0642\u064a\u0629 \u0627\u0644\u0646\u0637\u0627\u0642\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u064f\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0643\u0648\u0646 \u063a\u064a\u0631 \u062c\u062f\u064a\u0631\u0629 \u0628\u0627\u0644\u062b\u0642\u0629 </ li> <li> <strong> \u0645\u062f\u0642\u0642 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a: </ strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0628\u0634\u0643\u0644 \u0635\u0631\u064a\u062d \u0645\u062f\u0642\u0642\u064a \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a </ li> <li> <strong> \u0627\u0644\u0625\u0634\u0627\u0631\u0627\u062a: </ strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0645\u0632\u064a\u062c\u064b\u0627 \u0645\u0646 \u0627\u0644\u0646\u0637\u0627\u0642\u0627\u062a \u0627\u0644\u0645\u0648\u062b\u0648\u0642\u0629 \u0648\u063a\u064a\u0631 \u0627\u0644\u062c\u062f\u064a\u0631\u0629 \u0628\u0627\u0644\u062b\u0642\u0629 </ li> </ul> \u0648\u0646\u0638\u0631\u064b\u0627 \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062c\u0645\u0639\u062a \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0645\u062a\u0639\u062f\u062f\u0629\u060c \u0641\u0642\u062f \u0642\u0645\u0646\u0627 \u0628\u0625\u0639\u0637\u0627\u0621 \u0627\u0644\u0645\u0635\u062f\u0631 \u0627\u0644\u0630\u064a \u0627\u0633\u062a\u062e\u0631\u062c\u0646\u0627 \u0645\u0646\u0647 \u0627\u0644\u062a\u0641\u0627\u0635\u064a\u0644 \u0648\u0625\u0630\u0627 \u062a\u0648\u0641\u0631 \u0623\u064a \u062f\u0644\u064a\u0644\u060c \u0642\u062f\u0645\u0647 \u0627\u0644\u0645\u0635\u062f\u0631 \u0628\u0646\u0641\u0633\u0647 \u062d\u062a\u0649 \u064a\u062a\u0645\u0643\u0646 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u0648\u0646 \u0645\u0646 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0635\u062d\u0629 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0646\u0637\u0627\u0642. \u0644\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0645\u0635\u0627\u062f\u0631 \u0648\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0631\u0627\u062c\u0639 \u0647\u0630\u0647 \u0627\u0644\u0635\u0641\u062d\u0629  <a href=\"https://gatenlp.github.io/gateplugin-Source_Credibility/\" target=\"_blank\" rel=\"noopener noreferrer\"></a>", "source_cred_popup_header": "\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0645\u062c\u0627\u0644/\u0627\u0644\u062d\u0633\u0627\u0628 \u0641\u064a \u0627\u0644\u062a\u0642\u0627\u0631\u064a\u0631 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0627\u0644\u0645\u062f\u0631\u062c\u0629 \u0645\u0646 \u0642\u0628\u0644:", "url_domain_analysis": "\u062a\u062d\u0644\u064a\u0644 \u0645\u062c\u0627\u0644 URL", "fact_checker": "\u0645\u062f\u0642\u0642 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a", "warning": "\u062a\u062d\u0630\u064a\u0631", "mentions": "\u0625\u0634\u0627\u0631\u0627\u062a", "assistant_error_instagram": "\u0641\u0634\u0644 \u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0641\u064a \u0627\u0633\u062a\u0631\u062f\u0627\u062f \u0645\u0646\u0634\u0648\u0631 \u0627\u0646\u0633\u062a\u063a\u0631\u0627\u0645 \u0647\u0630\u0627. \u064a\u0631\u062c\u0649 \u0641\u062a\u062d \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0630\u0627 \u0641\u064a \u0639\u0644\u0627\u0645\u0629 \u062a\u0628\u0648\u064a\u0628 \u062c\u062f\u064a\u062f\u0629 (\u0642\u062f \u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u062a\u0633\u062c\u064a\u0644 \u0627\u0644\u062f\u062e\u0648\u0644 \u0625\u0644\u0649 \u0627\u0646\u0633\u062a\u063a\u0631\u0627\u0645) \u060c \u062b\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0632\u0631 \u0645\u0633\u0627\u0639\u062f \u0644\u0644\u0635\u0641\u062d\u0629 \u0627\u0644\u062d\u0627\u0644\u064a\u0629 \u0644\u0625\u0639\u0627\u062f\u0629 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629.", "assistant_error_server_error": "\u0644\u0645 \u064a\u062a\u0645\u0643\u0646 \u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0645\u0646 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0627\u0628\u0637 \u0627\u0644\u0645\u0642\u062f\u0645 \u0628\u0633\u0628\u0628 \u0645\u0634\u0643\u0644\u0629 \u0641\u064a \u0627\u0644\u062e\u0627\u062f\u0645 \u060c \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0644\u0627\u062d\u0642\u064b\u0627. \u0625\u0630\u0627 \u0627\u0633\u062a\u0645\u0631\u062a \u0627\u0644\u0645\u0634\u0643\u0644\u0629 \u060c \u0641\u064a\u0631\u062c\u0649 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0628\u0627\u0644\u062f\u0639\u0645.", "assistant_error_connection_error": "\u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0647\u0648 \u0648\u062c\u0648\u062f \u0645\u0634\u0643\u0644\u0627\u062a \u0641\u064a \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0628\u0627\u0644\u062e\u0627\u062f\u0645 \u060c \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0644\u0627\u062d\u0642\u064b\u0627.", "extracted_urls": "\u0639\u0646\u0627\u0648\u064a\u0646 URL \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629", "extracted_urls_url_domain_analysis": "\u0639\u0646\u0627\u0648\u064a\u0646 URL \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629 \u0645\u0639 \u062a\u062d\u0644\u064a\u0644 \u0646\u0637\u0627\u0642 \u0639\u0646\u0648\u0627\u0646 URL", "extracted_urls_url_domain_analysis_failed": "\u0641\u0634\u0644 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0639\u0646\u0627\u0648\u064a\u0646 URL \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u062d\u0644\u064a\u0644 \u0646\u0637\u0627\u0642 \u0639\u0646\u0648\u0627\u0646 URL.", "extracted_urls_tooltip": "<b>\u0645\u0627 \u0647\u0630\u0627\u061f</b><br> \u0644\u0643\u0644 \u0639\u0646\u0648\u0627\u0646 URL \u0645\u0633\u062a\u062e\u0631\u062c \u0645\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0623\u0635\u0644\u064a, \u0646\u0642\u0648\u0645 \u00a0\u0628\u0641\u062d\u0635 \u0627\u0644\u0646\u0637\u0627\u0642 (\u0625\u0630\u0627 \u0643\u0627\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u063a\u064a\u0631 \u062a\u0627\u0628\u0639 \u0644\u0648\u0633\u0627\u0626\u0644 \u0627\u0644\u062a\u0648\u0627\u0635\u0644 \u0627\u0644\u0627\u062c\u062a\u0645\u0627\u0639\u064a) \u0623\u0648 \u0627\u0644\u062d\u0633\u0627\u0628 (\u0625\u0630\u0627 \u0643\u0627\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u062a\u0627\u0628\u0639\u064b\u0627 \u0644\u0648\u0633\u0627\u0626\u0644 \u0627\u0644\u062a\u0648\u0627\u0635\u0644 \u0627\u0644\u0627\u062c\u062a\u0645\u0627\u0639\u064a) \u0639\u0628\u0631 \u062e\u062f\u0645\u0629 \u062a\u062d\u0644\u064a\u0644 \u0646\u0637\u0627\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0646\u0627. </br></br>\u0645\u0627 \u0627\u0644\u0630\u064a \u064a\u0645\u0643\u0646\u0646\u064a \u0641\u0639\u0644\u0647 \u0628\u0647\u0630\u0647 \u0627\u0644\u0646\u062a\u0627\u0626\u062c\u061f</b><br> \u062a\u0647\u062f\u0641 \u062e\u062f\u0645\u0629 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0646\u0637\u0627\u0642 / \u0627\u0644\u062d\u0633\u0627\u0628 URL \u0625\u0644\u0649 \u062c\u0645\u0639 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0646\u0637\u0627\u0642 / \u062d\u0633\u0627\u0628 \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0645\u062a\u0639\u062f\u062f\u0629. \u0648\u0646\u0639\u062a\u0632\u0645 \u0645\u0646 \u062e\u0644\u0627\u0644\u0647\u0627 \u0625\u0639\u0644\u0627\u0645 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0623\u064a\u064b\u0627 \u0645\u0646 \u0627\u0644\u0645\u0635\u0627\u062f\u0631 \u0627\u0644\u062a\u064a \u0646\u062c\u0645\u0639 \u0645\u0646\u0647\u0627 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0646\u0637\u0627\u0642 / \u0627\u0644\u062d\u0633\u0627\u0628 \u0644\u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0645\u062f\u062e\u0644. \u0648\u064a\u062a\u0645 \u062a\u0642\u0633\u064a\u0645 \u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0625\u0644\u0649 \u062b\u0644\u0627\u062b\u0629 \u0623\u0646\u0648\u0627\u0639:<ul><li> <strong> \u062a\u062d\u0630\u064a\u0631: </strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0645\u0648\u062b\u0648\u0642\u064a\u0629 \u0627\u0644\u0646\u0637\u0627\u0642\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u064f\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0643\u0648\u0646 \u063a\u064a\u0631 \u062c\u062f\u064a\u0631\u0629 \u0628\u0627\u0644\u062b\u0642\u0629 </li> <li> <strong> \u0645\u062f\u0642\u0642 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a: </strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0628\u0634\u0643\u0644 \u0635\u0631\u064a\u062d \u0645\u062f\u0642\u0642\u064a \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a </li> <li> <strong> \u0627\u0644\u0625\u0634\u0627\u0631\u0627\u062a: </strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 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+{"assistant_title": "\u0627\u0644\u0645\u0633\u0627\u0639\u062f", "assistant_intro": "\u064a\u062f\u0639\u0645\u0643 \u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u062d\u0644\u064a\u0644 \u0635\u0641\u062d\u0629 \u0648\u064a\u0628 \u0623\u0648 \u0635\u0648\u0631\u0629 \u0623\u0648 \u0645\u0644\u0641 \u0641\u064a\u062f\u064a\u0648 \u0648\u064a\u0642\u062a\u0631\u062d \u0623\u062f\u0648\u0627\u062a Weverify \u0645\u0641\u064a\u062f\u0629 \u0644\u0643\u0644 \u062d\u0627\u0644\u0629", "assistant_choose": "\u0627\u062e\u062a\u0631 \u0645\u0627 \u062a\u0631\u064a\u062f \u062a\u062d\u0644\u064a\u0644\u0647", "assistant_webpage_header": "\u0631\u0627\u0628\u0637 \u0635\u0641\u062d\u0629 \u0627\u0644\u0648\u064a\u0628", "assistant_webpage_text": "\u0623\u062f\u062e\u0644 \u0631\u0627\u0628\u0637 \u0635\u0641\u062d\u0629 \u0627\u0644\u0648\u064a\u0628\u060c \u0648\u0633\u064a\u0642\u062a\u0631\u062d \u0627\u0644\u0645\u0633\u0627\u0639\u062f 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"\u0635\u0648\u0631\u0629", "assistant_urlbox": "\u0639\u0646\u0648\u0627\u0646 URL", "assistant_give_url": "\u0636\u0639 \u0639\u0646\u0648\u0627\u0646 URL \u0644\u0644\u0635\u0641\u062d\u0629 \u0644\u062a\u062d\u0644\u064a\u0647\u0627", "assistant_paste_url": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "please_give_a_correct_link": "\u0627\u0644\u0631\u0627\u0628\u0637 \u0627\u0644\u0645\u0642\u062f\u0645 \u063a\u064a\u0631 \u0635\u062d\u064a\u062d \u0623\u0648 \u063a\u064a\u0631 \u0645\u062f\u0639\u0648\u0645.", "button_analyse": "\u062a\u062d\u0644\u064a\u0644", "button_clean": "\u0625\u0632\u0627\u0644\u0629", "save": "\u062d\u0641\u0638", "source_credibility_title": "\u0645\u0635\u062f\u0627\u0642\u064a\u0629 \u0627\u0644\u0645\u0635\u062f\u0631", "source_credibility_byline": "\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0645\u0635\u062f\u0631 \u0643\u062c\u0632\u0621 \u0645\u0646 \u0641\u062d\u0635 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\u0628\u064a\u0627\u0646\u0627\u062a \u062a\u0639\u0631\u064a\u0641 \u0627\u0644\u0635\u0648\u0631\u0629/\u0627\u0644\u0641\u064a\u062f\u064a\u0648", "rights_text": "\u0627\u0633\u062a\u0631\u062f\u0627\u062f \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u062d\u0642\u0648\u0642 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0641\u0642\u0637", "forensic_text": "\u0643\u0634\u0641 \u0623\u064a \u062a\u0644\u0627\u0639\u0628 \u0628\u0627\u0644\u0635\u0648\u0631", "ocr_text": "\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0623\u064a \u0646\u0635 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629", "hyperpartisan_title": "\u062e\u062f\u0645\u0629 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u062a\u0634\u062f\u062f \u0627\u0644\u062d\u0632\u0628\u064a (Hyperpartisan)", "dbkf_text_title": "\u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0646\u0635\u0648\u0635 \u0627\u0644\u0645\u0632\u064a\u0641\u0629 \u0627\u0644\u0645\u0639\u0631\u0648\u0641\u0629", "dbkf_media_title": "\u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0648\u0633\u0627\u0626\u0637 \u0627\u0644\u0645\u0632\u064a\u0641\u0629 \u0627\u0644\u0645\u0639\u0631\u0648\u0641\u0629", "ne_title": "\u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0643\u064a\u0627\u0646 \u0645\u0633\u0645\u0649", "ocr_title": "\u0628\u062d\u062b OCR", "source_cred_title": "\u062e\u062f\u0645\u0629 \u0645\u0635\u062f\u0627\u0642\u064a\u0629 \u0627\u0644\u0645\u0635\u062f\u0631", "mt_title": "\u062e\u062f\u0645\u0629 \u0627\u0644\u062a\u0631\u062c\u0645\u0629 \u0627\u0644\u0622\u0644\u064a\u0629", "translate": "\u062a\u0631\u062c\u0645\u0629 (\u0628\u064a\u062a\u0627)", "copy_link": "\u0627\u0646\u0633\u062e \u0627\u0644\u0631\u0627\u0628\u0637", "archive_link": "\u0627\u0644\u0623\u0631\u0634\u064a\u0641", "source_credibility_warning": "\u062a\u0645 \u0630\u0643\u0631 \u0627\u0644\u0646\u0637\u0627\u0642 \u0623\u0648 \u0627\u0644\u062d\u0633\u0627\u0628 \u0641\u064a \u0639\u0645\u0644\u064a\u0629 \u0628\u062d\u062b \u0636\u062f:", "text_tooltip": "<b> \u0645\u0627 \u0647\u0630\u0627\u061f</b></br> \u064a\u062a\u0645 \u0639\u0631\u0636 \u0623\u064a \u0646\u0635 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u0631\u0627\u062c\u0647 \u0645\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0645\u062d\u062f\u062f \u0647\u0646\u0627</br></br><b>\u0643\u064a\u0641 \u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0627\u061f</b></br> \u064a\u062a\u0645 \u062a\u0634\u063a\u064a\u0644 \u0623\u062f\u0648\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0646\u0635\u0648\u0635 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0642\u0627\u0628\u0644 \u0647\u0630\u0627 \u0627\u0644\u0646\u0635: \u064a\u062a\u0645 <ul><li>\u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0644\u063a\u0629</li> \u0648\u0639\u0631\u0636\u0647\u0627 <li>\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0643\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0633\u0645\u0627\u0629 \u0641\u064a \u0627\u0644\u0646\u0635 \u0648\u0639\u0631\u0636\u0647\u0627 (\u0627\u0644\u0623\u0634\u062e\u0627\u0635 \u0648\u0627\u0644\u0645\u0648\u0627\u0642\u0639 \u0648\u0627\u0644\u0645\u0646\u0638\u0645\u0627\u062a \u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643)</li> <li>\u064a\u062a\u0645 \u0625\u0631\u0633\u0627\u0644 \u0623\u0648\u0644 500 \u062d\u0631\u0641 \u0641\u064a \u0627\u0644\u0646\u0635 \u0644\u064a\u062a\u0645 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646\u0647\u0627 \u0645\u0642\u0627\u0628\u0644 \u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0646\u062a\u062c\u0627\u062a \u0627\u0644\u0645\u0632\u064a\u0641\u0629 \u0627\u0644\u0645\u0639\u0631\u0648\u0641\u0629. \u064a\u062a\u0645 \u0633\u0631\u062f \u0646\u062a\u0627\u0626\u062c \u0647\u0630\u0627 \u0627\u0644\u0641\u062d\u0635 (\u0625\u0646 \u0648\u062c\u062f\u062a) \u0641\u064a \u0642\u0633\u0645 <b>\u0627\u0644\u062a\u062d\u0630\u064a\u0631\u0627\u062a</b> \u0644\u0645\u0632\u064a\u062f \u0645\u0646</li></ul> \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a\u060c \u0631\u0627\u062c\u0639: <a href=\"https://gatenlp.github.io/we-verify-app-assistant/supported-tools\" target=\"_blank\" rel=\"noopener noreferrer\">this page</a>", "media_tooltip": "<b> \u0645\u0627 \u0647\u0630\u0627\u061f</b></br> \u062a\u0639\u0631\u0636 \u0623\u064a \u0635\u0648\u0631 \u0623\u0648 \u0645\u0642\u0627\u0637\u0639 \u0641\u064a\u062f\u064a\u0648 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u0631\u0627\u062c\u0647\u0627 \u0645\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627.</br></br> <b>\u0645\u0627\u0630\u0627 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\u0627\u0644\u0623\u062f\u0627\u0629 \u0627\u0644\u0645\u062d\u062f\u062f\u0629.</br> \u0625\u0644\u0649 \u062c\u0627\u0646\u0628 \u0630\u0644\u0643\u060c \u0633\u064a\u0642\u0648\u0645 \u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0628\u0639\u0643\u0633 \u0627\u0644\u0628\u062d\u062b \u0641\u064a \u0627\u0644\u0648\u0633\u0627\u0626\u0637 \u0645\u0642\u0627\u0628\u0644 \u0642\u0627\u0639\u062f\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0646\u062a\u062c\u0627\u062a \u0627\u0644\u0645\u0632\u064a\u0641\u0629 \u0627\u0644\u0645\u0639\u0631\u0648\u0641\u0629. \u0625\u0630\u0627 \u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0623\u064a \u0646\u062a\u0627\u0626\u062c\u060c \u0633\u064a\u062a\u0645 \u0639\u0631\u0636\u0647\u0627 \u0641\u064a \u0642\u0633\u0645 \u0627\u0644\u062a\u062d\u0630\u064a\u0631\u0627\u062a. <b></b></br></br> \u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a\u060c 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\u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0645\u0632\u064a\u062c\u064b\u0627 \u0645\u0646 \u0627\u0644\u0646\u0637\u0627\u0642\u0627\u062a \u0627\u0644\u0645\u0648\u062b\u0648\u0642\u0629 \u0648\u063a\u064a\u0631 \u0627\u0644\u062c\u062f\u064a\u0631\u0629 \u0628\u0627\u0644\u062b\u0642\u0629 </ li> </ul> \u0648\u0646\u0638\u0631\u064b\u0627 \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062c\u0645\u0639\u062a \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0645\u062a\u0639\u062f\u062f\u0629\u060c \u0641\u0642\u062f \u0642\u0645\u0646\u0627 \u0628\u0625\u0639\u0637\u0627\u0621 \u0627\u0644\u0645\u0635\u062f\u0631 \u0627\u0644\u0630\u064a \u0627\u0633\u062a\u062e\u0631\u062c\u0646\u0627 \u0645\u0646\u0647 \u0627\u0644\u062a\u0641\u0627\u0635\u064a\u0644 \u0648\u0625\u0630\u0627 \u062a\u0648\u0641\u0631 \u0623\u064a \u062f\u0644\u064a\u0644\u060c \u0642\u062f\u0645\u0647 \u0627\u0644\u0645\u0635\u062f\u0631 \u0628\u0646\u0641\u0633\u0647 \u062d\u062a\u0649 \u064a\u062a\u0645\u0643\u0646 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u0648\u0646 \u0645\u0646 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0635\u062d\u0629 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0646\u0637\u0627\u0642. \u0644\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0645\u0635\u0627\u062f\u0631 \u0648\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0631\u0627\u062c\u0639 \u0647\u0630\u0647 \u0627\u0644\u0635\u0641\u062d\u0629  <a href=\"https://gatenlp.github.io/gateplugin-Source_Credibility/\" target=\"_blank\" rel=\"noopener noreferrer\"></a>", "source_cred_popup_header": "\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0645\u062c\u0627\u0644/\u0627\u0644\u062d\u0633\u0627\u0628 \u0641\u064a \u0627\u0644\u062a\u0642\u0627\u0631\u064a\u0631 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0627\u0644\u0645\u062f\u0631\u062c\u0629 \u0645\u0646 \u0642\u0628\u0644:", "url_domain_analysis": "\u062a\u062d\u0644\u064a\u0644 \u0645\u062c\u0627\u0644 URL", "fact_checker": "\u0645\u062f\u0642\u0642 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a", "warning": "\u062a\u062d\u0630\u064a\u0631", "mentions": "\u0625\u0634\u0627\u0631\u0627\u062a", "assistant_error_instagram": "\u0641\u0634\u0644 \u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0641\u064a \u0627\u0633\u062a\u0631\u062f\u0627\u062f \u0645\u0646\u0634\u0648\u0631 \u0627\u0646\u0633\u062a\u063a\u0631\u0627\u0645 \u0647\u0630\u0627. \u064a\u0631\u062c\u0649 \u0641\u062a\u062d \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0630\u0627 \u0641\u064a \u0639\u0644\u0627\u0645\u0629 \u062a\u0628\u0648\u064a\u0628 \u062c\u062f\u064a\u062f\u0629 (\u0642\u062f \u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u062a\u0633\u062c\u064a\u0644 \u0627\u0644\u062f\u062e\u0648\u0644 \u0625\u0644\u0649 \u0627\u0646\u0633\u062a\u063a\u0631\u0627\u0645) \u060c \u062b\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0632\u0631 \u0645\u0633\u0627\u0639\u062f \u0644\u0644\u0635\u0641\u062d\u0629 \u0627\u0644\u062d\u0627\u0644\u064a\u0629 \u0644\u0625\u0639\u0627\u062f\u0629 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629.", "assistant_error_server_error": "\u0644\u0645 \u064a\u062a\u0645\u0643\u0646 \u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0645\u0646 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0627\u0628\u0637 \u0627\u0644\u0645\u0642\u062f\u0645 \u0628\u0633\u0628\u0628 \u0645\u0634\u0643\u0644\u0629 \u0641\u064a \u0627\u0644\u062e\u0627\u062f\u0645 \u060c \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0644\u0627\u062d\u0642\u064b\u0627. \u0625\u0630\u0627 \u0627\u0633\u062a\u0645\u0631\u062a \u0627\u0644\u0645\u0634\u0643\u0644\u0629 \u060c \u0641\u064a\u0631\u062c\u0649 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0628\u0627\u0644\u062f\u0639\u0645.", "assistant_error_connection_error": "\u0627\u0644\u0645\u0633\u0627\u0639\u062f \u0647\u0648 \u0648\u062c\u0648\u062f \u0645\u0634\u0643\u0644\u0627\u062a \u0641\u064a \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0628\u0627\u0644\u062e\u0627\u062f\u0645 \u060c \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0644\u0627\u062d\u0642\u064b\u0627.", "extracted_urls": "\u0639\u0646\u0627\u0648\u064a\u0646 URL \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629", "extracted_urls_url_domain_analysis": "\u0639\u0646\u0627\u0648\u064a\u0646 URL \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629 \u0645\u0639 \u062a\u062d\u0644\u064a\u0644 \u0646\u0637\u0627\u0642 \u0639\u0646\u0648\u0627\u0646 URL", "extracted_urls_url_domain_analysis_failed": "\u0641\u0634\u0644 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0639\u0646\u0627\u0648\u064a\u0646 URL \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u062d\u0644\u064a\u0644 \u0646\u0637\u0627\u0642 \u0639\u0646\u0648\u0627\u0646 URL.", "extracted_urls_tooltip": "<b>\u0645\u0627 \u0647\u0630\u0627\u061f</b><br> \u0644\u0643\u0644 \u0639\u0646\u0648\u0627\u0646 URL \u0645\u0633\u062a\u062e\u0631\u062c \u0645\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0623\u0635\u0644\u064a, \u0646\u0642\u0648\u0645 \u00a0\u0628\u0641\u062d\u0635 \u0627\u0644\u0646\u0637\u0627\u0642 (\u0625\u0630\u0627 \u0643\u0627\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u063a\u064a\u0631 \u062a\u0627\u0628\u0639 \u0644\u0648\u0633\u0627\u0626\u0644 \u0627\u0644\u062a\u0648\u0627\u0635\u0644 \u0627\u0644\u0627\u062c\u062a\u0645\u0627\u0639\u064a) \u0623\u0648 \u0627\u0644\u062d\u0633\u0627\u0628 (\u0625\u0630\u0627 \u0643\u0627\u0646 \u0639\u0646\u0648\u0627\u0646 URL \u062a\u0627\u0628\u0639\u064b\u0627 \u0644\u0648\u0633\u0627\u0626\u0644 \u0627\u0644\u062a\u0648\u0627\u0635\u0644 \u0627\u0644\u0627\u062c\u062a\u0645\u0627\u0639\u064a) \u0639\u0628\u0631 \u062e\u062f\u0645\u0629 \u062a\u062d\u0644\u064a\u0644 \u0646\u0637\u0627\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0646\u0627. </br></br>\u0645\u0627 \u0627\u0644\u0630\u064a \u064a\u0645\u0643\u0646\u0646\u064a \u0641\u0639\u0644\u0647 \u0628\u0647\u0630\u0647 \u0627\u0644\u0646\u062a\u0627\u0626\u062c\u061f</b><br> \u062a\u0647\u062f\u0641 \u062e\u062f\u0645\u0629 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0646\u0637\u0627\u0642 / \u0627\u0644\u062d\u0633\u0627\u0628 URL \u0625\u0644\u0649 \u062c\u0645\u0639 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0646\u0637\u0627\u0642 / \u062d\u0633\u0627\u0628 \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0645\u062a\u0639\u062f\u062f\u0629. \u0648\u0646\u0639\u062a\u0632\u0645 \u0645\u0646 \u062e\u0644\u0627\u0644\u0647\u0627 \u0625\u0639\u0644\u0627\u0645 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0623\u064a\u064b\u0627 \u0645\u0646 \u0627\u0644\u0645\u0635\u0627\u062f\u0631 \u0627\u0644\u062a\u064a \u0646\u062c\u0645\u0639 \u0645\u0646\u0647\u0627 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0646\u0637\u0627\u0642 / \u0627\u0644\u062d\u0633\u0627\u0628 \u0644\u0639\u0646\u0648\u0627\u0646 URL \u0627\u0644\u0645\u062f\u062e\u0644. \u0648\u064a\u062a\u0645 \u062a\u0642\u0633\u064a\u0645 \u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0625\u0644\u0649 \u062b\u0644\u0627\u062b\u0629 \u0623\u0646\u0648\u0627\u0639:<ul><li> <strong> \u062a\u062d\u0630\u064a\u0631: </strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0645\u0648\u062b\u0648\u0642\u064a\u0629 \u0627\u0644\u0646\u0637\u0627\u0642\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u064f\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0643\u0648\u0646 \u063a\u064a\u0631 \u062c\u062f\u064a\u0631\u0629 \u0628\u0627\u0644\u062b\u0642\u0629 </li> <li> <strong> \u0645\u062f\u0642\u0642 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a: </strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0628\u0634\u0643\u0644 \u0635\u0631\u064a\u062d \u0645\u062f\u0642\u0642\u064a \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a </li> <li> <strong> \u0627\u0644\u0625\u0634\u0627\u0631\u0627\u062a: </strong> \u0627\u0644\u0646\u0637\u0627\u0642 \u0645\u064f\u062f\u0631\u062c \u062d\u0633\u0628 \u0627\u0644\u0645\u0635\u062f\u0631 \u0648\u0627\u0644\u0630\u064a \u064a\u0633\u0631\u062f \u0645\u0632\u064a\u062c\u064b\u0627 \u0645\u0646 \u0627\u0644\u0646\u0637\u0627\u0642\u0627\u062a \u0627\u0644\u0645\u0648\u062b\u0648\u0642\u0629 \u0648\u063a\u064a\u0631 \u0627\u0644\u062c\u062f\u064a\u0631\u0629 \u0628\u0627\u0644\u062b\u0642\u0629 </li></ul> \u0648\u0646\u0638\u0631\u064b\u0627 \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062c\u0645\u0639\u062a \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0645\u062a\u0639\u062f\u062f\u0629\u060c \u0641\u0642\u062f \u0642\u0645\u0646\u0627 \u0628\u0625\u0639\u0637\u0627\u0621 \u0627\u0644\u0645\u0635\u062f\u0631 \u0627\u0644\u0630\u064a \u0627\u0633\u062a\u062e\u0631\u062c\u0646\u0627 \u0645\u0646\u0647 \u0627\u0644\u062a\u0641\u0627\u0635\u064a\u0644 \u0648\u0625\u0630\u0627 \u062a\u0648\u0641\u0631 \u0623\u064a\u00a0\u062f\u0644\u064a\u0644\u060c \u0642\u062f\u0645\u0647 \u0627\u0644\u0645\u0635\u062f\u0631 \u0628\u0646\u0641\u0633\u0647 \u062d\u062a\u0649 \u064a\u062a\u0645\u0643\u0646 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u0648\u0646 \u0645\u0646 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0635\u062d\u0629 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0646\u0637\u0627\u0642. \u0644\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0645\u0635\u0627\u062f\u0631 \u0648\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0631\u0627\u062c\u0639 <a href=\"https://gatenlp.github.io/gateplugin-Source_Credibility/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0647\u0630\u0647 \u0627\u0644\u0635\u0641\u062d\u0629</a>"}
\ No newline at end of file
diff --git a/public/locales/ar/components/NavItems/tools/CheckGIF.json b/public/locales/ar/components/NavItems/tools/CheckGIF.json
index 7ea196eb2..024311ede 100644
--- a/public/locales/ar/components/NavItems/tools/CheckGIF.json
+++ b/public/locales/ar/components/NavItems/tools/CheckGIF.json
@@ -1 +1 @@
-{"checkGIF_title": "CheckGif", "checkGIF_description": "\u062a\u0646\u0634\u0626 \u0647\u0630\u0647 \u0627\u0644\u0645\u064a\u0632\u0629 \u0635\u0648\u0631\u0629 gif \u0645\u062a\u062d\u0631\u0643\u0629 \u0645\u0643\u0648\u0646\u0629 \u0645\u0646 \u0635\u0648\u0631\u0629 \u0623\u0635\u0644\u064a\u0629 \u0648\u0635\u0648\u0631\u0629 \u062a\u0645 \u0627\u0644\u062a\u0644\u0627\u0639\u0628 \u0628\u0647\u0627 (\u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0625\u0630\u0627 \u062a\u0645 \u0627\u0642\u062a\u0635\u0627\u0635 \u0627\u0644\u0635\u0648\u0631\u0629) \u0644\u0625\u0638\u0647\u0627\u0631 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644", "cardTitle_images": "\u0635\u0648\u0631 \u0644\u0640 GIF", "title_image1": "\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0623\u0648 \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627)", "title_image2": "\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629 (\u0645\u0646 \u0627\u0644\u0645\u0641\u062a\u0631\u0636 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0623\u0635\u0644\u064a\u0629)", "body_droparea": "\u0627\u0633\u062d\u0628 \u0623\u064a \u0635\u0648\u0631\u0629 \u0647\u0646\u0627\u060c \u0623\u0648 \u0627\u0646\u0642\u0631 \u0644\u062a\u0635\u0641\u062d \u0627\u0644\u0635\u0648\u0631\u0629", "button_loadImages": "\u062a\u062d\u0645\u064a\u0644 \u0627\u0644\u0635\u0648\u0631", "cardTitle_generatedGIF": "\u0645\u0639\u0627\u064a\u0646\u0629 GIF", "slider_title": "\u0633\u0631\u0639\u0629 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0645\u062a\u062d\u0631\u0643\u0629", "slider_label_slow": "\u0628\u0637\u064a\u0621", "slider_label_fast": "\u0633\u0631\u064a\u0639", "button_download": "\u062a\u0646\u0632\u064a\u0644 GIF", "button_video": "\u062d\u0645\u0651\u0644 \u0628\u0635\u064a\u063a\u0629 \u0641\u064a\u062f\u064a\u0648", "cardTitle_source": "\u0645\u0635\u062f\u0631 \u0627\u0644\u0635\u0648\u0631", "title_URL": "\u0627\u0644\u0631\u0648\u0627\u0628\u0637", "description_URL": "\u064a\u062a\u0645 \u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646 \u0628\u0631\u0627\u0628\u0637\u064a\u0646 \u0628\u0635\u064a\u063a\u0629 \u0639\u0646\u0627\u0648\u064a\u0646 URL", "title_local": "\u0645\u0644\u0641\u0627\u062a \u0645\u062d\u0644\u064a\u0629", "description_local": "\u0627\u0644\u0635\u0648\u0631\u062a\u0627\u0646 \u0645\u0632\u0648\u062f\u062a\u0627\u0646 \u0628\u0645\u0644\u0641\u064a\u0646 \u0645\u062d\u0644\u064a\u064a\u0646", "title_gifcreation": "\u0625\u0646\u0634\u0627\u0621 GIF", "text_preview": "\u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646 \u0639\u0644\u0649 \u0627\u0644\u064a\u0633\u0627\u0631 \u0648\u0627\u0646\u0642\u0631 \u0641\u0648\u0642 \u0627\u0644\u0632\u0631 \u0644\u0644\u0645\u0639\u0627\u064a\u0646\u0629", "input_label1": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0634\u0628\u0648\u0647\u0629 \u0623\u0648 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0629", "input_label2": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0627\u0644\u0645\u0641\u062a\u0631\u0636\u0629", "input_placeholder": "\u0627\u0644\u0635\u0642 \u0627\u0644\u0631\u0627\u0628\u0637 \u0647\u0646\u0627", "title_preview": "\u0645\u0639\u0627\u064a\u0646\u0629 GIF", "error_homo": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u062a\u0637\u0627\u0628\u0642 \u0628\u064a\u0646 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646.", "button_new": "GIF \u062c\u062f\u064a\u062f", "IPOL_IMAGE_UPLOAD_EXCEEDED": "\u064a\u062a\u062c\u0627\u0648\u0632 \u062d\u062c\u0645 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062d\u062f 1 \u0645\u064a\u062c\u0627\u0628\u0627\u064a\u062a", "IPOL_REMOTE_SERVICE_ERROR": "\u062d\u062f\u062b \u062e\u0637\u0623 \u0641\u064a \u0627\u0644\u0634\u0628\u0643\u0629 \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "IPOL_RESOURCE_NOT_FOUND": "\u0643\u0627\u0646 \u062d\u062f\u062b \u062e\u0637\u0623 \u062f\u0627\u062e\u0644\u064a \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "IPOL_FILE_IMAGE_ERROR": "\u062d\u062f\u062b  \u062e\u0637\u0623 \u0623\u062b\u0646\u0627\u0621 \u0635\u064a\u0627\u063a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629", "IPOL_BAD_URL_ERROR": "\u0635\u064a\u063a\u0629 \u0639\u0646\u0627\u0648\u064a\u0646 URL \u063a\u064a\u0631 \u0635\u0627\u0644\u062d\u0629", "NO_MATCHES_FOUND": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u062a\u0637\u0627\u0628\u0642 \u0628\u064a\u0646 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "INTERNAL_SERVER_ERROR": "\u062d\u062f\u062b \u062e\u0637\u0623 \u062f\u0627\u062e\u0644\u064a \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646"}
\ No newline at end of file
+{"checkGIF_title": "CheckGif", "checkGIF_description": "\u062a\u0646\u0634\u0626 \u0647\u0630\u0647 \u0627\u0644\u0645\u064a\u0632\u0629 \u0635\u0648\u0631\u0629 gif \u0645\u062a\u062d\u0631\u0643\u0629 \u0645\u0643\u0648\u0646\u0629 \u0645\u0646 \u0635\u0648\u0631\u0629 \u0623\u0635\u0644\u064a\u0629 \u0648\u0635\u0648\u0631\u0629 \u062a\u0645 \u0627\u0644\u062a\u0644\u0627\u0639\u0628 \u0628\u0647\u0627 (\u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0625\u0630\u0627 \u062a\u0645 \u0627\u0642\u062a\u0635\u0627\u0635 \u0627\u0644\u0635\u0648\u0631\u0629) \u0644\u0625\u0638\u0647\u0627\u0631 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644", "cardTitle_images": "\u0635\u0648\u0631 \u0644\u0640 GIF", "title_image1": "\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0623\u0648 \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627)", "title_image2": "\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629 (\u0645\u0646 \u0627\u0644\u0645\u0641\u062a\u0631\u0636 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0623\u0635\u0644\u064a\u0629)", "body_droparea": "\u0627\u0633\u062d\u0628 \u0623\u064a \u0635\u0648\u0631\u0629 \u0647\u0646\u0627\u060c \u0623\u0648 \u0627\u0646\u0642\u0631 \u0644\u062a\u0635\u0641\u062d \u0627\u0644\u0635\u0648\u0631\u0629", "button_loadImages": "\u062a\u062d\u0645\u064a\u0644 \u0627\u0644\u0635\u0648\u0631", "cardTitle_generatedGIF": "\u0645\u0639\u0627\u064a\u0646\u0629 GIF", "slider_title": "\u0633\u0631\u0639\u0629 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0645\u062a\u062d\u0631\u0643\u0629", "slider_label_slow": "\u0628\u0637\u064a\u0621", "slider_label_fast": "\u0633\u0631\u064a\u0639", "button_download": "\u062a\u0646\u0632\u064a\u0644 GIF", "button_video": "\u062d\u0645\u0651\u0644 \u0628\u0635\u064a\u063a\u0629 \u0641\u064a\u062f\u064a\u0648", "cardTitle_source": "\u0645\u0635\u062f\u0631 \u0627\u0644\u0635\u0648\u0631", "title_URL": "\u0627\u0644\u0631\u0648\u0627\u0628\u0637", "description_URL": "\u064a\u062a\u0645 \u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646 \u0628\u0631\u0627\u0628\u0637\u064a\u0646 \u0628\u0635\u064a\u063a\u0629 \u0639\u0646\u0627\u0648\u064a\u0646 URL", "title_local": "\u0645\u0644\u0641\u0627\u062a \u0645\u062d\u0644\u064a\u0629", "description_local": "\u0627\u0644\u0635\u0648\u0631\u062a\u0627\u0646 \u0645\u0632\u0648\u062f\u062a\u0627\u0646 \u0628\u0645\u0644\u0641\u064a\u0646 \u0645\u062d\u0644\u064a\u064a\u0646", "title_gifcreation": "\u0625\u0646\u0634\u0627\u0621 GIF", "text_preview": "\u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646 \u0639\u0644\u0649 \u0627\u0644\u064a\u0633\u0627\u0631 \u0648\u0627\u0646\u0642\u0631 \u0641\u0648\u0642 \u0627\u0644\u0632\u0631 \u0644\u0644\u0645\u0639\u0627\u064a\u0646\u0629", "input_label1": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0634\u0628\u0648\u0647\u0629 \u0623\u0648 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0629", "input_label2": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0627\u0644\u0645\u0641\u062a\u0631\u0636\u0629", "input_placeholder": "\u0627\u0644\u0635\u0642 \u0627\u0644\u0631\u0627\u0628\u0637 \u0647\u0646\u0627", "title_preview": "\u0645\u0639\u0627\u064a\u0646\u0629 GIF", "error_homo": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u062a\u0637\u0627\u0628\u0642 \u0628\u064a\u0646 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646.", "button_new": "GIF \u062c\u062f\u064a\u062f", "IPOL_IMAGE_UPLOAD_EXCEEDED": "\u064a\u062a\u062c\u0627\u0648\u0632 \u062d\u062c\u0645 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062d\u062f 1 \u0645\u064a\u062c\u0627\u0628\u0627\u064a\u062a", "IPOL_REMOTE_SERVICE_ERROR": "\u062d\u062f\u062b \u062e\u0637\u0623 \u0641\u064a \u0627\u0644\u0634\u0628\u0643\u0629 \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "IPOL_RESOURCE_NOT_FOUND": "\u0643\u0627\u0646 \u062d\u062f\u062b \u062e\u0637\u0623 \u062f\u0627\u062e\u0644\u064a \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "IPOL_FILE_IMAGE_ERROR": "\u062d\u062f\u062b  \u062e\u0637\u0623 \u0623\u062b\u0646\u0627\u0621 \u0635\u064a\u0627\u063a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629", "IPOL_BAD_URL_ERROR": "\u0635\u064a\u063a\u0629 \u0639\u0646\u0627\u0648\u064a\u0646 URL \u063a\u064a\u0631 \u0635\u0627\u0644\u062d\u0629", "NO_MATCHES_FOUND": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u062a\u0637\u0627\u0628\u0642 \u0628\u064a\u0646 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "INTERNAL_SERVER_ERROR": "\u062d\u062f\u062b \u062e\u0637\u0623 \u062f\u0627\u062e\u0644\u064a \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631\u062a\u064a\u0646", "button_play": "\u062a\u0634\u063a\u064a\u0644 GIF", "button_modify": "\u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u062a\u0639\u0644\u064a\u0642", "button_add": "\u0625\u0636\u0627\u0641\u0629 \u062a\u0639\u0644\u064a\u0642", "button_remove": "\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u062a\u0639\u0644\u064a\u0642", "fake_annotation_tip": "\u064a\u0645\u0643\u0646 \u0625\u0636\u0627\u0641\u0629 \u062a\u0639\u0644\u064a\u0642 \"Fake\" \u0625\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0639\u062f\u0644\u0629", "text_size_label": "\u062d\u062c\u0645 \u0627\u0644\u0646\u0635", "colour_label": "\u0644\u0648\u0646", "colour_red": "\u0623\u062d\u0645\u0631", "colour_blue": "\u0623\u0632\u0631\u0642", "colour_white": "\u0623\u0628\u064a\u0636", "draggable_text_tip": "\u064a\u0645\u0643\u0646 \u0633\u062d\u0628 \u0627\u0644\u0646\u0635 \u0625\u0644\u0649 \u0645\u0648\u0636\u0639 \u0623\u0643\u062b\u0631 \u0645\u0644\u0627\u0621\u0645\u0629"}
\ No newline at end of file
diff --git a/public/locales/ar/components/NavItems/tools/Deepfake.json b/public/locales/ar/components/NavItems/tools/Deepfake.json
index 5ddcc598b..af670be03 100644
--- a/public/locales/ar/components/NavItems/tools/Deepfake.json
+++ b/public/locales/ar/components/NavItems/tools/Deepfake.json
@@ -1 +1 @@
-{"deepfake_label": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0648\u0633\u0627\u0626\u0637", "deepfake_name": "\u062a\u0632\u0648\u064a\u0631 \u0639\u0645\u064a\u0642", "deepfake_placeholder": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "deepfake_support": "\u0645\u062a\u0635\u0641\u062d\u0643 \u0627\u0644\u062d\u0627\u0644\u064a \u0644\u0627 \u064a\u062f\u0639\u0645 \u062a\u0634\u063a\u064a\u0644 \u0627\u0644\u0641\u064a\u062f\u064a\u0648.", "deepfake_clips": "\u0645\u0642\u0627\u0637\u0639 \u0641\u064a\u062f\u064a\u0648", "deepfake_select": "\u062d\u062f\u062f \u0644\u0642\u0637\u0629 \u0644\u0631\u0624\u064a\u0629 \u0646\u062a\u0627\u0626\u062c \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0644\u0647\u0630\u0627 \u0627\u0644\u0645\u0642\u0637\u0639", "deepfake_clip": "\u0645\u0642\u0637\u0639 \u0645\u062d\u062f\u062f", "deepfake_faces": "\u0627\u0644\u0648\u062c\u0648\u0647 \u0627\u0644\u0645\u0639\u0631\u0641\u0629", "deepfake_video": "\u062a\u0645 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_results": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u062d\u062f\u062f", "deepfake_error_400": "\u062e\u0637\u0623: \u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646\u0647 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0627\u0644\u062c\u0645\u0647\u0648\u0631", "deepfake_error_500": "\u062e\u0637\u0623 \u062f\u0627\u062e\u0644\u064a \u0641\u064a \u0627\u0644\u062e\u062f\u0645\u0629", "deepfake_error_413": "\u0627\u0644\u0645\u0644\u0641 \u0643\u0628\u064a\u0631 \u062c\u062f\u064b\u0627", "deepfake_error_422": "\u0627\u0644\u0645\u0644\u0641 \u0643\u0628\u064a\u0631 \u062c\u062f\u064b\u0627", "deepfake_image_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629", "deepfake_video_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_title_what": "\u0645\u0627 \u0647\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0635\u063a\u0631\u0629 (\u0627\u0644\u063a\u0644\u0627\u0641)", "deepfake_filters_explanation_image": "\u0634\u0631\u062d \u0627\u0644\u0635\u0648\u0631\u0629", "deepfake_filters_explanation_video": "\u0634\u0631\u062d \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_image_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "deepfake_image_faceswap_name": "\u062a\u0628\u062f\u064a\u0644 \u0627\u0644\u0648\u062c\u0647", "deepfake_image_faceswap_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0648\u062c\u0647 \u0627\u0644\u0634\u062e\u0635 \u0642\u062f \u062a\u0645 \u0627\u0633\u062a\u0628\u062f\u0627\u0644\u0647 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629.", "deepfake_image_gan_name": "GAN", "deepfake_image_gan_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629 (GAN).", "deepfake_image_diffusion_name": "\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631", "deepfake_image_diffusion_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0634\u0628\u0643\u0629 \u0639\u0635\u0628\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631.", "deepfake_image_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 \u062a\u0645", "deepfake_image_detection_alert_2": "\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "deepfake_video_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "deepfake_video_videoreport_name": "Mever Deepfake \u0643\u0627\u0634\u0641 \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_video_videoreport_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0642\u062f \u062a\u0645 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0648\u062c\u0647 \u0627\u0644\u0634\u062e\u0635 \u0641\u064a \u0627\u0644\u0641\u064a\u062f\u064a\u0648.", "deepfake_video_ftcn_name": "\u0634\u0628\u0643\u0629 \u0627\u0644\u0627\u0644\u062a\u0648\u0627\u0621 \u0627\u0644\u0632\u0645\u0646\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644", "deepfake_video_ftcn_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641\u0627\u062a \u0627\u0644\u0632\u0645\u0646\u064a\u0629 \u0644\u0645\u0642\u0627\u0637\u0639 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0630\u0627\u062a \u0627\u0644\u0648\u062c\u0648\u0647.", "deepfake_video_facereenact_name": "\u0625\u0639\u0627\u062f\u0629 \u062a\u0645\u062b\u064a\u0644 \u0627\u0644\u0648\u062c\u0647", "deepfake_video_facereenact_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0648\u062c\u0648\u0647 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0642\u062f \u062a\u0645 \u062a\u0631\u0643\u064a\u0628\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0646\u0642\u0644 \u0645\u0646 \u0634\u0643\u0644 \u0627\u0644\u0648\u062c\u0647 \u0627\u0644\u0645\u0635\u062f\u0631 \u0625\u0644\u0649 \u0627\u0644\u0648\u062c\u0647 \u0627\u0644\u0645\u0633\u062a\u0647\u062f\u0641 \u0645\u0639 \u0627\u0644\u062d\u0641\u0627\u0638 \u0639\u0644\u0649 \u0645\u0638\u0647\u0631 \u0648\u0647\u0648\u064a\u0629 \u0627\u0644\u0648\u062c\u0647 \u0627\u0644\u0645\u0633\u062a\u0647\u062f\u0641.", "deepfake_video_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0623\u0646 \u0647\u0630\u0627 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641", "deepfake_video_detection_alert_2": "\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "button_remove": "\u0625\u0632\u0627\u0644\u0629", "deepfake_no_face_detection": "\u0644\u0627 \u064a\u0648\u062c\u062f \u0648\u062c\u0647 \u0645\u0643\u062a\u0634\u0641", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "submit_button": "\u0625\u0631\u0633\u0627\u0644"}
\ No newline at end of file
+{"deepfake_label": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0648\u0633\u0627\u0626\u0637", "deepfake_name": "\u062a\u0632\u0648\u064a\u0631 \u0639\u0645\u064a\u0642", "deepfake_placeholder": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "deepfake_support": "\u0645\u062a\u0635\u0641\u062d\u0643 \u0627\u0644\u062d\u0627\u0644\u064a \u0644\u0627 \u064a\u062f\u0639\u0645 \u062a\u0634\u063a\u064a\u0644 \u0627\u0644\u0641\u064a\u062f\u064a\u0648.", "deepfake_clips": "\u0645\u0642\u0627\u0637\u0639 \u0641\u064a\u062f\u064a\u0648", "deepfake_select": "\u062d\u062f\u062f \u0644\u0642\u0637\u0629 \u0644\u0631\u0624\u064a\u0629 \u0646\u062a\u0627\u0626\u062c \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0644\u0647\u0630\u0627 \u0627\u0644\u0645\u0642\u0637\u0639", "deepfake_clip": "\u0645\u0642\u0637\u0639 \u0645\u062d\u062f\u062f", "deepfake_faces": "\u0627\u0644\u0648\u062c\u0648\u0647 \u0627\u0644\u0645\u0639\u0631\u0641\u0629", "deepfake_video": "\u062a\u0645 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_results": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u062d\u062f\u062f", "deepfake_error_400": "\u062e\u0637\u0623: \u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646\u0647 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0627\u0644\u062c\u0645\u0647\u0648\u0631", "deepfake_error_500": "\u062e\u0637\u0623 \u062f\u0627\u062e\u0644\u064a \u0641\u064a \u0627\u0644\u062e\u062f\u0645\u0629", "deepfake_error_413": "\u0627\u0644\u0645\u0644\u0641 \u0643\u0628\u064a\u0631 \u062c\u062f\u064b\u0627", "deepfake_error_422": "\u0627\u0644\u0645\u0644\u0641 \u0643\u0628\u064a\u0631 \u062c\u062f\u064b\u0627", "deepfake_image_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629", "deepfake_video_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_title_what": "\u0645\u0627 \u0647\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0635\u063a\u0631\u0629 (\u0627\u0644\u063a\u0644\u0627\u0641)", "deepfake_filters_explanation_image": "\u0634\u0631\u062d \u0627\u0644\u0635\u0648\u0631\u0629", "deepfake_filters_explanation_video": "\u0634\u0631\u062d \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_image_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "deepfake_image_faceswap_name": "\u062a\u0628\u062f\u064a\u0644 \u0627\u0644\u0648\u062c\u0647", "deepfake_image_faceswap_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0648\u062c\u0647 \u0627\u0644\u0634\u062e\u0635 \u0642\u062f \u062a\u0645 \u0627\u0633\u062a\u0628\u062f\u0627\u0644\u0647 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629.", "deepfake_image_gan_name": "GAN", "deepfake_image_gan_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629 (GAN).", "deepfake_image_diffusion_name": " \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646", "deepfake_image_diffusion_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0634\u0628\u0643\u0629 \u0639\u0635\u0628\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631.", "deepfake_image_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 \u062a\u0645", "deepfake_image_detection_alert_2": "\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "deepfake_video_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "deepfake_video_videoreport_name": "Mever Deepfake \u0643\u0627\u0634\u0641 \u0627\u0644\u0641\u064a\u062f\u064a\u0648", "deepfake_video_videoreport_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0642\u062f \u062a\u0645 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0648\u062c\u0647 \u0627\u0644\u0634\u062e\u0635 \u0641\u064a \u0627\u0644\u0641\u064a\u062f\u064a\u0648.", "deepfake_video_ftcn_name": "\u0634\u0628\u0643\u0629 \u0627\u0644\u0627\u0644\u062a\u0648\u0627\u0621 \u0627\u0644\u0632\u0645\u0646\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644", "deepfake_video_ftcn_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641\u0627\u062a \u0627\u0644\u0632\u0645\u0646\u064a\u0629 \u0644\u0645\u0642\u0627\u0637\u0639 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0630\u0627\u062a \u0627\u0644\u0648\u062c\u0648\u0647.", "deepfake_video_facereenact_name": "\u0625\u0639\u0627\u062f\u0629 \u062a\u0645\u062b\u064a\u0644 \u0627\u0644\u0648\u062c\u0647", "deepfake_video_facereenact_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0648\u062c\u0648\u0647 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0642\u062f \u062a\u0645 \u062a\u0631\u0643\u064a\u0628\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0646\u0642\u0644 \u0645\u0646 \u0634\u0643\u0644 \u0627\u0644\u0648\u062c\u0647 \u0627\u0644\u0645\u0635\u062f\u0631 \u0625\u0644\u0649 \u0627\u0644\u0648\u062c\u0647 \u0627\u0644\u0645\u0633\u062a\u0647\u062f\u0641 \u0645\u0639 \u0627\u0644\u062d\u0641\u0627\u0638 \u0639\u0644\u0649 \u0645\u0638\u0647\u0631 \u0648\u0647\u0648\u064a\u0629 \u0627\u0644\u0648\u062c\u0647 \u0627\u0644\u0645\u0633\u062a\u0647\u062f\u0641.", "deepfake_video_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0623\u0646 \u0647\u0630\u0627 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641", "deepfake_video_detection_alert_2": "\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "button_remove": "\u0625\u0632\u0627\u0644\u0629", "deepfake_no_face_detection": "\u0644\u0627 \u064a\u0648\u062c\u062f \u0648\u062c\u0647 \u0645\u0643\u062a\u0634\u0641", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "submit_button": "\u0625\u0631\u0633\u0627\u0644"}
\ No newline at end of file
diff --git a/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json b/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json
index 3bfcbd6c7..e39732fd2 100644
--- a/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json
+++ b/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json
@@ -1 +1 @@
-{"synthetic_image_detection_label": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0648\u0633\u0627\u0626\u0637", "synthetic_image_detection_name": "\u0643\u0634\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_placeholder": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "synthetic_image_detection_results": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u062d\u062f\u062f", "synthetic_image_detection_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629 (GAN).", "synthetic_image_detection_diffusion_name": "\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631", "synthetic_image_detection_diffusion_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0634\u0628\u0643\u0629 \u0639\u0635\u0628\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c ProGAN \u0623\u0648 \u0647\u0646\u062f\u0633\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629. \u062a\u0639\u062a\u0628\u0631 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u062a\u063a\u064a\u0631\u0629 \u0645\u0646 ResNet50 \u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 ADMs \u0623\u0648 \u0647\u0646\u062f\u0633\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629. \u062a\u0639\u062a\u0628\u0631 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u062a\u063a\u064a\u0631\u0629 \u0645\u0646 ResNet50 \u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0627\u062a \u0627\u0644\u062e\u0635\u0645 \u0627\u0644\u0627\u0646\u062a\u0627\u062c\u064a\u0629 (GAN). \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646\u0629 (LDM)\u060c \u0645\u0639 \u0639\u0631\u0636 \u0623\u062f\u0627\u0621 \u0643\u0634\u0641 \u0642\u0648\u064a \u0639\u0628\u0631 \u0639\u062f\u0629 \u0637\u0631\u0642 \u062a\u0648\u0644\u064a\u062f\u064a\u0629 \u0623\u062e\u0631\u0649. \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 \u062a\u0645", "synthetic_image_detection_alert_2": " \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "synthetic_image_detection_error_400": "\u062e\u0637\u0623: \u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646\u0647 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0635\u0648\u0631\u0629 \u0645\u062a\u0627\u062d\u0629 \u0639\u0644\u0646\u064a\u0627\u064b \u0628\u0623\u0628\u0639\u0627\u062f \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_error_generic": "\u062d\u062f\u062b \u062e\u0637\u0623. \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0623\u0648 \u062c\u0631\u0628 \u0635\u0648\u0631\u0629 \u0645\u062e\u062a\u0644\u0641\u0629.", "synthetic_image_detection_algorithms_errors": "\u0623\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0642\u062f \u0639\u0627\u062f\u062a \u0628\u0623\u062e\u0637\u0627\u0621. \u0642\u062f \u062a\u0643\u0648\u0646 \u0627\u0644\u062a\u062d\u0644\u064a\u0644\u0627\u062a \u063a\u064a\u0631 \u0645\u0643\u062a\u0645\u0644\u0629. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0647\u0627 \u0623\u0628\u0639\u0627\u062f \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_not_found": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0634\u0641", "submit_button": "\u0625\u0631\u0633\u0627\u0644", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "synthetic_image_detection_gauge_detection": "\u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_gauge_no_detection": "\u0644\u0627 \u064a\u0648\u062c\u062f \u0643\u0634\u0641", "synthetic_image_detection_additional_explanation_text": "\u064a\u0634\u064a\u0631 \u0646\u062a\u064a\u062c\u0629 \u062a\u062a\u062c\u0627\u0648\u0632 70\u066a \u0625\u0644\u0649 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u0646 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0646 \u062a\u0643\u0648\u0646 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0648\u0630\u062c \u0630\u0643\u0627\u0621 \u0627\u0635\u0637\u0646\u0627\u0639\u064a.", "synthetic_image_detection_additional_results": "\u0639\u0631\u0636 \u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_additional_results_hide": "\u0625\u062e\u0641\u0627\u0621 \u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_rating": "\u062a\u0641\u0633\u064a\u0631: \u0648\u062c\u062f\u062a \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0643\u0634\u0641 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0646\u0627 ", "synthetic_image_detection_rating_4": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_3": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_2": "\u062f\u0644\u0627\u0626\u0644 \u0645\u0639\u062a\u062f\u0644\u0629 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_rating_1": "\u062f\u0644\u0627\u0626\u0644 \u0636\u0639\u064a\u0641\u0629 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_button_copy_text_1": "\u0646\u0633\u062e \u0627\u0644\u0646\u0635", "synthetic_image_detection_button_copy_text_2": "\u062a\u0645 \u0646\u0633\u062e \u0627\u0644\u0646\u0635!", "synthetic_image_detection_alert_label_4": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u064b\u0627", "synthetic_image_detection_alert_label_3": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629", "synthetic_image_detection_alert_label_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_alert_label_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_probability_text": "\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629:"}
\ No newline at end of file
+{"synthetic_image_detection_label": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0648\u0633\u0627\u0626\u0637", "synthetic_image_detection_name": "\u0643\u0634\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_placeholder": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "synthetic_image_detection_results": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u062d\u062f\u062f", "synthetic_image_detection_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629 (GAN).", "synthetic_image_detection_diffusion_name": "\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646", "synthetic_image_detection_diffusion_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0634\u0628\u0643\u0629 \u0639\u0635\u0628\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c ProGAN \u0623\u0648 \u0647\u0646\u062f\u0633\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629. \u062a\u0639\u062a\u0628\u0631 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u062a\u063a\u064a\u0631\u0629 \u0645\u0646 ResNet50 \u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 ADMs \u0623\u0648 \u0647\u0646\u062f\u0633\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629. \u062a\u0639\u062a\u0628\u0631 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u062a\u063a\u064a\u0631\u0629 \u0645\u0646 ResNet50 \u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0627\u062a \u0627\u0644\u062e\u0635\u0645 \u0627\u0644\u0627\u0646\u062a\u0627\u062c\u064a\u0629 (GAN). \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646\u0629 (LDM)\u060c \u0645\u0639 \u0639\u0631\u0636 \u0623\u062f\u0627\u0621 \u0643\u0634\u0641 \u0642\u0648\u064a \u0639\u0628\u0631 \u0639\u062f\u0629 \u0637\u0631\u0642 \u062a\u0648\u0644\u064a\u062f\u064a\u0629 \u0623\u062e\u0631\u0649. \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 \u062a\u0645", "synthetic_image_detection_alert_2": " \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "synthetic_image_detection_error_400": "\u062e\u0637\u0623: \u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646\u0647 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0635\u0648\u0631\u0629 \u0645\u062a\u0627\u062d\u0629 \u0639\u0644\u0646\u064a\u0627\u064b \u0628\u0623\u0628\u0639\u0627\u062f \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_error_generic": "\u062d\u062f\u062b \u062e\u0637\u0623. \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0623\u0648 \u062c\u0631\u0628 \u0635\u0648\u0631\u0629 \u0645\u062e\u062a\u0644\u0641\u0629.", "synthetic_image_detection_algorithms_errors": "\u0623\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0642\u062f \u0639\u0627\u062f\u062a \u0628\u0623\u062e\u0637\u0627\u0621. \u0642\u062f \u062a\u0643\u0648\u0646 \u0627\u0644\u062a\u062d\u0644\u064a\u0644\u0627\u062a \u063a\u064a\u0631 \u0645\u0643\u062a\u0645\u0644\u0629. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0647\u0627 \u0623\u0628\u0639\u0627\u062f \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_not_found": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0634\u0641", "submit_button": "\u0625\u0631\u0633\u0627\u0644", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "synthetic_image_detection_gauge_detection": "\u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_gauge_no_detection": "\u0644\u0627 \u064a\u0648\u062c\u062f \u0643\u0634\u0641", "synthetic_image_detection_additional_results": "\u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_additional_results_hide": "\u0625\u062e\u0641\u0627\u0621 \u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_rating": "\u062a\u0648\u0636\u064a\u062d: \u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0627\u0634\u0641 veraAI \u0627\u0644\u062e\u0627\u0635 \u0628\u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u0645\u0633\u0627\u0639\u062f InVID-WeVerify\u062a\u0641\u0633\u064a:", "synthetic_image_detection_rating_4": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_3": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646\u0647\u0627 \u063a\u064a\u0631 \u0642\u0627\u0637\u0639\u0629) \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_rating_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0642\u0627\u0637\u0639\u0629) \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_button_copy_text_1": "\u0646\u0633\u062e \u0627\u0644\u0646\u0635", "synthetic_image_detection_button_copy_text_2": "\u062a\u0645 \u0646\u0633\u062e \u0627\u0644\u0646\u0635!", "synthetic_image_detection_alert_label_4": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u064b\u0627", "synthetic_image_detection_alert_label_3": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629", "synthetic_image_detection_alert_label_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_alert_label_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_probability_text": "\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629:", "synthetic_image_detection_generic_detection_text": "\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0635\u0648\u0631\u0629 \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a", "synthetic_image_detection_scale_explanation_link": "\u0645\u0627\u0630\u0627 \u062a\u0639\u0646\u064a \u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0639\u062f\u0627\u062f\u061f", "synthetic_image_detection_scale_modal_explanation_title": "\u0645\u0627\u0630\u0627 \u062a\u0639\u0646\u064a \u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0639\u062f\u0627\u062f\u061f", "synthetic_image_detection_scale_modal_explanation_rating_1": "<50 % - \u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_scale_modal_explanation_rating_2": "\u226550 % - \u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_scale_modal_explanation_rating_3": "\u226570 % - \u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 (\u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)", "synthetic_image_detection_scale_modal_explanation_rating_4": "\u226590 % - \u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627\u064b (\u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)", "synthetic_image_detection_download_gauge_button": "\u062a\u062d\u0645\u064a\u0644 \u0645\u062e\u0637\u0637 \u0627\u0644\u0642\u064a\u0627\u0633 \u0643\u0645\u0644\u0641 jpeg"}
\ No newline at end of file
diff --git a/public/locales/ar/components/Shared/OnWarningInfo.json b/public/locales/ar/components/Shared/OnWarningInfo.json
index 597267b61..8d6368b1a 100644
--- a/public/locales/ar/components/Shared/OnWarningInfo.json
+++ b/public/locales/ar/components/Shared/OnWarningInfo.json
@@ -1 +1 @@
-{"warning_sna": "\u0647\u0630\u0647 \u0627\u0644\u0645\u064a\u0632\u0629 \u062a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0645\u0628\u064a\u0648\u062a\u0631 \u0628\u0634\u0643\u0644 \u0645\u0643\u062b\u0641 \u0648\u0645\u062e\u0635\u0635\u0629 \u0644\u0644\u0635\u062d\u0641\u064a\u064a\u0646 \u0648\u0645\u062f\u0642\u0642\u064a \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0648\u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646. \u0627\u0646\u0638\u0631 \u0641\u064a \u0623\u0639\u0644\u0649 \u0635\u0641\u062d\u0629 \u0627\u0644\u0623\u062f\u0648\u0627\u062a \u0639\u0644\u0649 \u0627\u0644\u064a\u0645\u064a\u0646 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a.", "error": "\u062d\u062f\u062b \u062e\u0637\u0623 \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 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\u0623\u062e\u0637\u0627\u0621 \u0623\u0648 \u0623\u062e\u0637\u0627\u0621. \u0644\u0627 \u062a\u0633\u062a\u062e\u062f\u0645 \u0641\u064a \u0627\u0644\u0625\u0646\u062a\u0627\u062c.", "warning_beta_synthetic_image_detection": "\u0647\u0630\u0647 \u0623\u062f\u0627\u0629 \u0625\u0635\u062f\u0627\u0631 \u062a\u062c\u0631\u064a\u0628\u064a \u062a\u0647\u062f\u0641 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 Dall-E \u0623\u0648 Midjourney \u0623\u0648 \u0623\u064a \u0646\u0648\u0639 \u0622\u062e\u0631 \u0645\u0646 \u0646\u0645\u0627\u0630\u062c Diffusion.", "warning_beta_loccus": " \u0644\u0627 \u062a\u062a\u0631\u062f\u062f \u0641\u064a \u0627\u062e\u062a\u0628\u0627\u0631\u0647 \u0645\u0639 \u0623\u062c\u0632\u0627\u0621 \u0623\u0635\u063a\u0631 \u0625\u0630\u0627 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\u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0645\u064a\u0632\u0629.\u0647\u0630\u0647 \u0646\u0633\u062e\u0629 \u062a\u062c\u0631\u064a\u0628\u064a\u0629 \u0645\u0646 \u0627\u0644\u0623\u062f\u0627\u0629 \u062a\u0647\u062f\u0641 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0633\u062a\u0646\u0633\u0627\u062e \u0627\u0644\u0635\u0648\u062a \u0641\u064a \u0645\u0644\u0641\u0627\u062a \u0627\u0644\u0635\u0648\u062a.", "warning_file_too_big": "\u0627\u0644\u0645\u0644\u0641 \u0643\u0628\u064a\u0631 \u062c\u062f\u064b\u0627", "warning_file_too_small": "\u0627\u0644\u0645\u0644\u0641 \u0635\u063a\u064a\u0631 \u062c\u062f\u0627\u064b"}
\ No newline at end of file
+{"warning_sna": "\u0647\u0630\u0647 \u0627\u0644\u0645\u064a\u0632\u0629 \u062a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0645\u0628\u064a\u0648\u062a\u0631 \u0628\u0634\u0643\u0644 \u0645\u0643\u062b\u0641 \u0648\u0645\u062e\u0635\u0635\u0629 \u0644\u0644\u0635\u062d\u0641\u064a\u064a\u0646 \u0648\u0645\u062f\u0642\u0642\u064a \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0648\u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646. \u0627\u0646\u0638\u0631 \u0641\u064a \u0623\u0639\u0644\u0649 \u0635\u0641\u062d\u0629 \u0627\u0644\u0623\u062f\u0648\u0627\u062a \u0639\u0644\u0649 \u0627\u0644\u064a\u0645\u064a\u0646 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a.", "error": "\u062d\u062f\u062b \u062e\u0637\u0623 \u0623\u062b\u0646\u0627\u0621 \u0645\u0639\u0627\u0644\u062c\u0629 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\u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0645\u0645\u0633\u0648\u062d\u0629 \u0636\u0648\u0626\u064a\u0627\u064b \u0644\u0644\u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0623\u0648 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0645\u062a\u062c\u0627\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u0647\u064a \u0641\u064a \u0627\u0644\u0648\u0627\u0642\u0639 \u0635\u0648\u0631 \u0645\u0639\u062f\u0644\u0629. \u0627\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u062a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u0649 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0623\u0643\u062b\u0631 \u0625\u062b\u0627\u0631\u0629 \u0644\u0644\u0634\u0643\u0648\u0643 \u0647\u064a \u062a\u0644\u0643 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0645\u0639\u064a\u0646\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u0631\u062c\u0649 \u0627\u0644\u0623\u062e\u0630 \u0641\u064a \u0627\u0644\u0627\u0639\u062a\u0628\u0627\u0631 \u0623\u0646 \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u0637\u0628 \u0627\u0644\u0634\u0631\u0639\u064a \u062a\u062d\u062f\u062f \u0623\u064a \u062a\u063a\u064a\u064a\u0631 \u0644\u0644\u0625\u0634\u0627\u0631\u0629 \u0627\u0644\u0631\u0642\u0645\u064a\u0629 \u0648\u0644\u064a\u0633 \u0641\u0642\u0637 \u0627\u0644\u0645\u0635\u0646\u0648\u0639\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0645 \u0627\u0644\u062a\u0644\u0627\u0639\u0628 \u0628\u0647\u0627 \u0644\u063a\u0648\u064a\u0627\u064b (\u0645\u0645\u0627 \u064a\u0639\u0646\u064a \u0625\u0645\u0643\u0627\u0646\u064a\u0629 \u0648\u062c\u0648\u062f \u0646\u062a\u0627\u0626\u062c \u0625\u064a\u062c\u0627\u0628\u064a\u0629 \u062e\u0627\u0637\u0626\u0629). \u0642\u062f \u062a\u0624\u062f\u064a \u0628\u0639\u0636 \u0627\u0644\u062a\u0631\u0643\u064a\u0628\u0627\u062a \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u0623\u0648 \u0632\u064a\u0627\u062f\u0629 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\u0644\u0644\u0635\u062d\u0641\u064a\u064a\u0646 \u0648\u0645\u062f\u0642\u0642\u064a \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0648\u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646. \u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u0625\u0644\u063a\u0627\u0621 \u0642\u0641\u0644 \u0627\u0644\u0623\u062f\u0648\u0627\u062a \u0627\u0644\u0645\u062a\u0642\u062f\u0645\u0629 \u0641\u064a \u0627\u0644\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u064a\u0645\u0646\u0649 \u0627\u0644\u0639\u0644\u064a\u0627 \u0645\u0646 \u0635\u0641\u062d\u0629 \u0627\u0644\u0623\u062f\u0648\u0627\u062a \u0644\u062a\u0637\u0628\u064a\u0642\u0647\u0627 \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627.", "warning_beta": "\u062a\u062d\u0630\u064a\u0631: \u0647\u0630\u0647 \u0623\u062f\u0627\u0629 \u062a\u062c\u0631\u064a\u0628\u064a\u0629 \u0642\u064a\u062f \u0627\u0644\u062a\u0637\u0648\u064a\u0631. \u0644\u0642\u062f \u062a\u0645 \u062a\u062d\u0633\u064a\u0646\u0647 \u0645\u0624\u062e\u0631\u064b\u0627 \u0636\u0645\u0646 \u0645\u0634\u0631\u0648\u0639 veraai.eu \u060c \u0648\u0644\u0643\u0646 \u0644\u0627 \u064a\u0632\u0627\u0644 \u0645\u0646 \u0627\u0644\u0645\u0645\u0643\u0646 \u0623\u0646 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0623\u062e\u0637\u0627\u0621 \u0623\u0648 \u062b\u063a\u0631\u0627\u062a. \u0627\u0633\u062a\u062e\u062f\u0645\u0647 \u0628\u062d\u0630\u0631. \u0641\u064a \u062d\u0627\u0644\u0629 \u0627\u0644\u0634\u0643 \u060c \u062d\u0627\u0648\u0644 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0623\u062f\u0648\u0627\u062a \u062e\u0627\u0631\u062c\u064a\u0629 \u0623\u062e\u0631\u0649 \u0644\u062a\u0623\u0643\u064a\u062f \u0623\u064a \u0646\u062a\u064a\u062c\u0629 ", "warning_beta_synthetic_image_detection": "\u064a\u0639\u062a\u0628\u0631 \u0627\u0644\u0627\u062d\u062a\u0645\u0627\u0644 \u0627\u0644\u0630\u064a \u064a\u0633\u0627\u0648\u064a \u0623\u0648 \u064a\u0632\u064a\u062f \u0639\u0646 70\u066a 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\u0644\u0625\u062f\u062e\u0627\u0644 \u0623\u062c\u0632\u0627\u0621 \u0645\u0646 \u0627\u0633\u062a\u0646\u0633\u0627\u062e \u0627\u0644\u0635\u0648\u062a \u0641\u064a\u0647. \u064a\u0639\u0645\u0644 \u0641\u0642\u0637 \u0645\u0639 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0646\u0635 \u0625\u0644\u0649 \u0643\u0644\u0627\u0645 \u0627\u0644\u0630\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a. \u0644\u0627 \u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641 \u0623\u064a \u062a\u0642\u0644\u064a\u062f \u0628\u0634\u0631\u064a \u0623\u0648 \u062a\u0639\u062f\u064a\u0644 \u0644\u0627\u062d\u0642 \u0644\u0644\u0635\u0648\u062a \u0627\u0644\u062d\u0642\u064a\u0642\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0645\u064a\u0632\u0629.\u0647\u0630\u0647 \u0646\u0633\u062e\u0629 \u062a\u062c\u0631\u064a\u0628\u064a\u0629 \u0645\u0646 \u0627\u0644\u0623\u062f\u0627\u0629 \u062a\u0647\u062f\u0641 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0633\u062a\u0646\u0633\u0627\u062e \u0627\u0644\u0635\u0648\u062a \u0641\u064a \u0645\u0644\u0641\u0627\u062a \u0627\u0644\u0635\u0648\u062a.", "warning_file_too_big": "\u0627\u0644\u0645\u0644\u0641 \u0643\u0628\u064a\u0631 \u062c\u062f\u064b\u0627", "warning_file_too_small": "\u0627\u0644\u0645\u0644\u0641 \u0635\u063a\u064a\u0631 \u062c\u062f\u0627\u064b"}
\ No newline at end of file
diff --git a/public/locales/en/components/NavItems/About.json b/public/locales/en/components/NavItems/About.json
index 00d2e4bde..a8d0d936c 100644
--- a/public/locales/en/components/NavItems/About.json
+++ b/public/locales/en/components/NavItems/About.json
@@ -1 +1 @@
-{"about_title": "InVID-WeVerify toolkit", "source_part_1": "This verification toolkit is provided in open source (under a ", "mit_licence_link": "license.html", "mit_licence_link_label": "MIT Licence)", "source_part_2": " by the AFP Medialab. It has been developed during the european projects InVID (2016-2018), WeVerify (2018-2021; both H2020) and YouCheck! (2019-2021; media literacy) as well as through the IFCN EnVisu4 project (2021) to help journalists and fact-checkers verify content on social networks (Disclaimer: please note that some external services used through web services via this interface, such as those presented under the Analysis and Keyframes tabs, are not open-sourced). This browser extension is currently being improved as part of the European project vera.ai (2022-2025; Verification Assisted by Artificial Intelligence).", "description": "It has been designed as a verification Swiss army knife helping journalists to save time and be more efficient in their fact-checking tasks. This is a beta version and we will update it regularly thanks to your feedback.", "feedBack_part_1": "For any feedback (bugs, enhancement, suggestions) please use first the feedback button at the bottom right of your screen. In case of trouble, you can email us at ", "invid_email": "invid-verification-plugin@iti.gr", "feedBack_part_2": ", or leave us a direct message through the ", "feedback_widget": "feedback widget", "feedback_part_3": " at the bottom right.", "disclaimer": "Disclaimer", "disclaimer_text": "This software is provided ''as is'', without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.", "privacy": "Privacy", "privacy_text": "This plugin does not gather any personal data or browsing data. We implemented Matomo only to get feedback and statistics about the tool usage, in order to improve the next releases. Some new tools (TwitterSNA, CheckGIF, GIF export of Forensic, Beta tools) need registration and are reserved to journalists, fact-checkers and researchers.", "info_invid_part_1": "WeVerify was a Horizon 2020 innovation action funded by the European Union under grant agreement 825297 (2018-2021). InVID was a Horizon 2020 innovation action funded by the European Union under grant agreement 687786 (2016-2018). For more information, visit the ", "info_invid_website": "InVID website", "info_invid_link_website": "http://www.invid-project.eu/", "info_invid_part_2": " or follow us on ", "twitter": "X/Twitter", "info_invid_link_twitter": "https://twitter.com/InVID_EU", "info_invid_part_3": ".", "info_weverify_part_1": "Vera.ai is a Horizon Research and Innovation Action funded by the European Union under grant agreement 101070093 (2022-2025). For more information, visit our ", "info_weverify_website": "vera.ai website", "info_weverify_link_website": "https://veraai.eu/", "info_weverify_part_2": " or follow us on ", "info_weverify_link_twitter": "https://twitter.com/veraai_eu", "developed_text_part_1": "The initial versions (0.1-0.7) of this plugin have been developed by ", "medialab_link_label": "AFP Medialab", "medialab_link": "https://www.afp.com/en/medialab/", "developed_text_part_2": " (Denis TEYSSOU, Bertrand GOUPIL, Dominique FERRANDINI, Valentin PORCELLINI) with the help of many developers in the last four years (Laurent LACROIX, Eric SCHAEFFER, Jean-Michel LEUNG, Nathan GOYAT, Axel VIGNY, Juliette CASTERAN, Thibault LHUILLIER, Duyen THI DO, Anatole ROULET, Marius POPARASCU, Enrique NIETO ARRANZ and Muneerah PATEL). The underlying services are provided by ", "iti_link": "http://mklab.iti.gr/", "iti_link_label": "Thessaloniki Information Technologies Institute", "developed_text_part_3": " (ITI, CERTH), ", "lleida_link": "http://griho.udl.cat/", "lleida_link_label": "the University de Lleida (Spain) ", "borelli_link": "https://ens-paris-saclay.fr/en/research/research-laboratories/centre-borelli", "borelli_link_label": " and Borelli Center", "developed_text_part_4": ". The Assistant feature is developed by ", "usfd_link": "https://gate.ac.uk/", "usfd_link_label": "the University of Sheffield.", "about_human_rights": "For Human Rights defenders", "quiz_unlock_explanations": "Unlock Interactive explanations", "cookies_usage": "Accept Matomo", "storage_usage": "Keep my preferences", "arabic_translation_part_1": "", "afcn_link": "", "afcn_link_label": "", "arabic_translation_part_2": "", "arij_link": "", "arij_link_label": ""}
\ No newline at end of file
+{"about_title": "InVID-WeVerify toolkit", "source_part_1": "This verification toolkit is provided in open source (under a ", "mit_licence_link": "license.html", "mit_licence_link_label": "MIT Licence)", "source_part_2": " by the AFP Medialab. It has been developed during the european projects InVID (2016-2018), WeVerify (2018-2021; both H2020) and YouCheck! (2019-2021; media literacy) as well as through the IFCN EnVisu4 project (2021) to help journalists and fact-checkers verify content on social networks (Disclaimer: please note that some external services used through web services via this interface, such as those presented under the Analysis and Keyframes tabs, are not open-sourced). This browser extension is currently being improved as part of the European project vera.ai (2022-2025; Verification Assisted by Artificial Intelligence).", "description": "It has been designed as a verification Swiss army knife helping journalists to save time and be more efficient in their fact-checking tasks. This is a beta version and we will update it regularly thanks to your feedback.", "feedBack_part_1": "For any feedback (bugs, enhancement, suggestions) please use first the feedback button at the bottom right of your screen. In case of trouble, you can email us at ", "invid_email": "invid-verification-plugin@iti.gr", "feedBack_part_2": ", or leave us a direct message through the ", "feedback_widget": "feedback widget", "feedback_part_3": " at the bottom right.", "disclaimer": "Disclaimer", "disclaimer_text": "This software is provided ''as is'', without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.", "privacy": "Privacy", "privacy_text": "This plugin does not gather any personal data or browsing data. We implemented Matomo only to get feedback and statistics about the tool usage, in order to improve the next releases. Some new tools (TwitterSNA, CheckGIF, GIF export of Forensic, Beta tools) need registration and are reserved to journalists, fact-checkers and researchers.", "info_invid_part_1": "WeVerify was a Horizon 2020 innovation action funded by the European Union under grant agreement 825297 (2018-2021). InVID was a Horizon 2020 innovation action funded by the European Union under grant agreement 687786 (2016-2018). For more information, visit the ", "info_invid_website": "InVID website", "info_invid_link_website": "http://www.invid-project.eu/", "info_invid_part_2": " or follow us on ", "twitter": "X/Twitter", "info_invid_link_twitter": "https://twitter.com/InVID_EU", "info_invid_part_3": ".", "info_weverify_part_1": "Vera.ai is a Horizon Research and Innovation Action funded by the European Union under grant agreement 101070093 (2022-2025). For more information, visit our ", "info_weverify_website": "vera.ai website", "info_weverify_link_website": "https://veraai.eu/", "info_weverify_part_2": " or follow us on ", "info_weverify_link_twitter": "https://twitter.com/veraai_eu", "developed_text_part_1": "The initial versions (0.1-0.7) of this plugin have been developed by ", "medialab_link_label": "AFP Medialab", "medialab_link": "https://www.afp.com/en/medialab/", "developed_text_part_2": " (Denis TEYSSOU, Bertrand GOUPIL, Dominique FERRANDINI, Valentin PORCELLINI) with the help of many developers in the last four years (Laurent LACROIX, Eric SCHAEFFER, Jean-Michel LEUNG, Nathan GOYAT, Axel VIGNY, Juliette CASTERAN, Thibault LHUILLIER, Duyen THI DO, Anatole ROULET, Marius POPARASCU, Enrique NIETO ARRANZ, Muneerah PATEL and Robin FARKAS). The underlying services are provided by ", "iti_link": "http://mklab.iti.gr/", "iti_link_label": "Thessaloniki Information Technologies Institute", "developed_text_part_3": " (ITI, CERTH), ", "lleida_link": "http://griho.udl.cat/", "lleida_link_label": "the University de Lleida (Spain) ", "borelli_link": "https://ens-paris-saclay.fr/en/research/research-laboratories/centre-borelli", "borelli_link_label": " and Borelli Center", "developed_text_part_4": ". The Assistant feature is developed by ", "usfd_link": "https://gate.ac.uk/", "usfd_link_label": "the University of Sheffield.", "about_human_rights": "For Human Rights defenders", "quiz_unlock_explanations": "Unlock Interactive explanations", "cookies_usage": "Accept Matomo", "storage_usage": "Keep my preferences", "arabic_translation_part_1": "", "afcn_link": "", "afcn_link_label": "", "arabic_translation_part_2": "", "arij_link": "", "arij_link_label": ""}
\ No newline at end of file
diff --git a/public/locales/en/components/NavItems/tools/Alltools.json b/public/locales/en/components/NavItems/tools/Alltools.json
index b587622c8..0d4e25f69 100644
--- a/public/locales/en/components/NavItems/tools/Alltools.json
+++ b/public/locales/en/components/NavItems/tools/Alltools.json
@@ -1 +1 @@
-{"navbar_tools": "Tools", "navbar_analysis_video": "Video analysis", "navbar_analysis_image": "Image analysis", "navbar_keyframes": "Keyframes", "navbar_thumbnails": "Thumbnails", "navbar_twitter": "X search", "navbar_magnifier": "Magnifier", "navbar_metadata": "Metadata", "navbar_rights": "Video rights", "navbar_forensic": "Forensic", "navbar_twitter_sna": "Twitter SNA.", "navbar_ocr": "OCR", "navbar_covidsearch": "Factchecks", "navbar_xnetwork": "XNetwork", "navbar_gif": "CheckGif", "navbar_twitter_sna_description": "It performs social network analysis on Twitter (on registration; deprecated since July 1st 2023 due to X/Twitter code changes)", "navbar_archiving": "Archiving", "navbar_analysis_description": "It brings you the contextual information of a Youtube or public Facebook video. Twitter does not work anymore due to their change of API policy.", "navbar_analysis_image_description": "It brings you contextual information of an image posted on Facebook or Twitter", "navbar_keyframes_description": "It fragments a YouTube or a Facebook public video into keyframes for reverse image search", "navbar_thumbnails_description": "It extracts and performs a reverse search of the thumbnails of a Youtube video", "navbar_twitter_description": "It performs advanced search queries on X (ex-Twitter) including by time interval up to the minute", "navbar_magnifier_description": "It provides a magnifying lens and a photo editor to help you examine an image thoroughly", "navbar_metadata_description": "It extract metadata for jpeg images and videos (in mp4 or m4v format)", "navbar_rights_description": "It provides information about the legal rights of a Youtube or Twitter video", "navbar_forensic_description": "It provides an enhanced toolkit to detect image forgeries", "navbar_covidsearch_description": "It provides a customised search engine of Factchecks.", "navbar_xnetwork_description": "It provides a customised search engine for cross-network queries.", "navbar_ocr_description": "It provides optical character recognition for texts in images", "navbar_gif_description": "It compares an original image and a tampered one (including if the image has been cropped) and generates a GIF as output", "navbar_archiving_description": "Archive web pages to the Wayback Machine", "api_help_video": "https://www.youtube.com/embed/eEVTYq1LMxM?rel=0", "keyframes_help_video": "https://www.youtube.com/embed/iNs8y5DoxP8?rel=0", "thumbnails_help_video": "https://www.youtube.com/embed/Vn0XGlOkSRQ?rel=0", "twitter_help_video": "https://www.youtube.com/embed/wzMCtpENuHA?rel=0", "magnifier_help_video": "https://www.youtube.com/embed/JljRs8p4aK4?rel=0", "metadata_help_video": "https://www.youtube.com/embed/Mg6Z-Jc54yo?rel=0", "copyright_help_video": "https://www.youtube.com/embed/NjTXsbF5Wu8?rel=0", "forensic_help_video": "https://www.youtube.com/embed/de862rAPne4?rel=0", "close": "Close", "category_video": "Video", "category_image": "Image", "category_audio": "Audio", "category_search": "Search", "category_data": "Data analysis", "category_other": "Other tools", "navbar_conversation": "Twitter Conversation", "navbar_conversation_description": "It provides a straightforward way of exploring a Twitter based conversation.", "navbar_twitter_crowdtangle": "CSV Analysis", "navbar_twitter_crowdtangle_description": "It performs social network analysis from a CrowdTangle export", "navbar_deepfake_image": "Deepfake", "navbar_deepfake_image_description": "It tries to detect if an image has been manipulated through deepfake techniques (mainly face manipulation)", "navbar_geolocation": "Geolocalizer", "navbar_geolocation_description": "Is uses an algorithm to try to geolocalize an image", "navbar_deepfake_video": "Deepfake", "navbar_deepfake_video_description": "It uses a detection algorithm to return the probabilty that a video contains a manipulated deepfake", "navbar_synthetic_image_detection": "Synthetic image", "navbar_synthetic_image_detection_description": "It returns the probability whether an image is AI-generated", "navbar_loccus": "Loccus", "navbar_loccus_description": "It detects AI-generated text-to-speech (voice cloning by technological means)", "navbar_semantic_search": "Fact Check semantic search", "navbar_semantic_search_description": "A semantic search engine for fact checks."}
\ No newline at end of file
+{"navbar_tools": "Tools", "navbar_analysis_video": "Video analysis", "navbar_analysis_image": "Image analysis", "navbar_keyframes": "Keyframes", "navbar_thumbnails": "Thumbnails", "navbar_twitter": "X search", "navbar_magnifier": "Magnifier", "navbar_metadata": "Metadata", "navbar_rights": "Video rights", "navbar_forensic": "Forensic", "navbar_twitter_sna": "Twitter SNA.", "navbar_ocr": "OCR", "navbar_covidsearch": "Factchecks", "navbar_xnetwork": "XNetwork", "navbar_gif": "CheckGif", "navbar_twitter_sna_description": "It performs social network analysis on Twitter (on registration; deprecated since July 1st 2023 due to X/Twitter code changes)", "navbar_archiving": "Archiving", "navbar_analysis_description": "It brings you the contextual information of a Youtube or public Facebook video. Twitter does not work anymore due to their change of API policy.", "navbar_analysis_image_description": "It brings you contextual information of an image posted on Facebook or Twitter", "navbar_keyframes_description": "It fragments a YouTube or a Facebook public video into keyframes for reverse image search", "navbar_thumbnails_description": "It extracts and performs a reverse search of the thumbnails of a Youtube video", "navbar_twitter_description": "It performs advanced search queries on X (ex-Twitter) including by time interval up to the minute", "navbar_magnifier_description": "It provides a magnifying lens and a photo editor to help you examine an image thoroughly", "navbar_metadata_description": "It extract metadata for jpeg images and videos (in mp4 or m4v format)", "navbar_rights_description": "It provides information about the legal rights of a Youtube or Twitter video", "navbar_forensic_description": "It provides an enhanced toolkit to detect image forgeries", "navbar_covidsearch_description": "It provides a customised search engine of Factchecks.", "navbar_xnetwork_description": "It provides a customised search engine for cross-network queries.", "navbar_ocr_description": "It provides optical character recognition for texts in images", "navbar_gif_description": "It compares an original image and a tampered one (including if the image has been cropped) and generates a GIF as output", "navbar_archiving_description": "Archive web pages to the Wayback Machine", "api_help_video": "https://www.youtube.com/embed/eEVTYq1LMxM?rel=0", "keyframes_help_video": "https://www.youtube.com/embed/iNs8y5DoxP8?rel=0", "thumbnails_help_video": "https://www.youtube.com/embed/Vn0XGlOkSRQ?rel=0", "twitter_help_video": "https://www.youtube.com/embed/wzMCtpENuHA?rel=0", "magnifier_help_video": "https://www.youtube.com/embed/JljRs8p4aK4?rel=0", "metadata_help_video": "https://www.youtube.com/embed/Mg6Z-Jc54yo?rel=0", "copyright_help_video": "https://www.youtube.com/embed/NjTXsbF5Wu8?rel=0", "forensic_help_video": "https://www.youtube.com/embed/de862rAPne4?rel=0", "close": "Close", "category_video": "Video", "category_image": "Image", "category_audio": "Audio", "category_search": "Search", "category_data": "Data analysis", "category_other": "Other tools", "navbar_conversation": "Twitter Conversation", "navbar_conversation_description": "It provides a straightforward way of exploring a Twitter based conversation.", "navbar_twitter_crowdtangle": "CSV Analysis", "navbar_twitter_crowdtangle_description": "It performs social network analysis from a CrowdTangle export", "navbar_deepfake_image": "Deepfake", "navbar_deepfake_image_description": "It tries to detect if an image has been manipulated through deepfake techniques (mainly face manipulation)", "navbar_geolocation": "Geolocalizer", "navbar_geolocation_description": "Is uses an algorithm to try to geolocalize an image", "navbar_deepfake_video": "Deepfake", "navbar_deepfake_video_description": "It uses a machine learning classifier which returns the probability that a video contains AI manipulated faces (face swapping and face reenactment).", "navbar_synthetic_image_detection": "Synthetic image", "navbar_synthetic_image_detection_description": "It returns the probability whether an image is AI-generated", "navbar_loccus": "Loccus", "navbar_loccus_description": "It detects AI-generated text-to-speech (voice cloning by technological means)", "navbar_semantic_search": "Fact Check semantic search", "navbar_semantic_search_description": "A semantic search engine for fact checks."}
\ No newline at end of file
diff --git a/public/locales/en/components/NavItems/tools/CheckGIF.json b/public/locales/en/components/NavItems/tools/CheckGIF.json
index ac3b7b30f..111535648 100644
--- a/public/locales/en/components/NavItems/tools/CheckGIF.json
+++ b/public/locales/en/components/NavItems/tools/CheckGIF.json
@@ -1 +1 @@
-{"checkGIF_title": "CheckGIF", "checkGIF_description": "This feature generates an animated gif image composed of an original image and a tampered one (including if the image has been cropped) to better reveal visually the image manipulation", "cardTitle_images": "Images for the GIF", "title_image1": "First image (suspicious or altered one)", "title_image2": "Second image (supposedly original)", "body_droparea": "Drop here an image file or click to browse for an image", "button_loadImages": "Load images", "cardTitle_generatedGIF": "Preview of the GIF", "slider_title": "Speed of the animation", "slider_label_slow": "Slow", "slider_label_fast": "Fast", "button_download": "Download GIF", "button_video": "Download as Video", "cardTitle_source": "Source of the images", "title_URL": "Links", "description_URL": "The two images are provided with two URL links", "title_local": "Local files", "description_local": "The two images are provided with two local files", "title_gifcreation": "GIF Creation", "text_preview": "You need to select the two images on the left and click the button to see the preview", "input_label1": "Link of the suspicious or altered image", "input_label2": "Link of the supposedly original image", "input_placeholder": "Paste here the link", "title_preview": "Preview of the GIF", "error_homo": "No match has been found between the two images.", "button_new": "New GIF", "IPOL_IMAGE_UPLOAD_EXCEEDED": "The size of the images exceed the limit of 1MB", "IPOL_REMOTE_SERVICE_ERROR": "There was an network error while processing the two images", "IPOL_RESOURCE_NOT_FOUND": "There was an internal error while processing the two images", "IPOL_FILE_IMAGE_ERROR": "There was an error while downlading the image", "IPOL_BAD_URL_ERROR": "The format of the URLs are not valid", "NO_MATCHES_FOUND": "No match has been found between the two images", "INTERNAL_SERVER_ERROR": "There was an internal error while processing the two images"}
\ No newline at end of file
+{"checkGIF_title": "CheckGIF", "checkGIF_description": "This feature generates an animated gif image composed of an original image and a tampered one (including if the image has been cropped) to better reveal visually the image manipulation", "cardTitle_images": "Images for the GIF", "title_image1": "First image (suspicious or altered one)", "title_image2": "Second image (supposedly original)", "body_droparea": "Drop here an image file or click to browse for an image", "button_loadImages": "Load images", "cardTitle_generatedGIF": "Preview of the GIF", "slider_title": "Speed of the animation", "slider_label_slow": "Slow", "slider_label_fast": "Fast", "button_download": "Download GIF", "button_video": "Download as Video", "cardTitle_source": "Source of the images", "title_URL": "Links", "description_URL": "The two images are provided with two URL links", "title_local": "Local files", "description_local": "The two images are provided with two local files", "title_gifcreation": "GIF Creation", "text_preview": "You need to select the two images on the left and click the button to see the preview", "input_label1": "Link of the suspicious or altered image", "input_label2": "Link of the supposedly original image", "input_placeholder": "Paste here the link", "title_preview": "Preview of the GIF", "error_homo": "No match has been found between the two images.", "button_new": "New GIF", "IPOL_IMAGE_UPLOAD_EXCEEDED": "The size of the images exceed the limit of 1MB", "IPOL_REMOTE_SERVICE_ERROR": "There was an network error while processing the two images", "IPOL_RESOURCE_NOT_FOUND": "There was an internal error while processing the two images", "IPOL_FILE_IMAGE_ERROR": "There was an error while downlading the image", "IPOL_BAD_URL_ERROR": "The format of the URLs are not valid", "NO_MATCHES_FOUND": "No match has been found between the two images", "INTERNAL_SERVER_ERROR": "There was an internal error while processing the two images", "button_play": "Play GIF", "button_modify": "Modify annotation", "button_add": "Add Annotation", "button_remove": "Remove annotation", "fake_annotation_tip": "'Fake' annotation can be added to the altered image.", "text_size_label": "Text size", "colour_label": "Colour", "colour_red": "Red", "colour_blue": "Blue", "colour_white": "White", "draggable_text_tip": "The text can be dragged to a more suitable position."}
\ No newline at end of file
diff --git a/public/locales/en/components/NavItems/tools/Deepfake.json b/public/locales/en/components/NavItems/tools/Deepfake.json
index e9769794c..bc3c4bf9a 100644
--- a/public/locales/en/components/NavItems/tools/Deepfake.json
+++ b/public/locales/en/components/NavItems/tools/Deepfake.json
@@ -1 +1 @@
-{"deepfake_label": "Media link", "deepfake_name": "Deepfake", "deepfake_placeholder": "Paste the URL here", "deepfake_support": "Your browser does not support the video tag.", "deepfake_clips": "Clips of the video", "deepfake_select": "Select a shot to see the analysis results of that clip", "deepfake_clip": "Clip selected", "deepfake_faces": "Faces recognized", "deepfake_video": "Video analyzed", "deepfake_results": "Results of the clip selected", "deepfake_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible", "deepfake_error_500": "Service internal error", "deepfake_error_413": "The file is too large", "deepfake_error_422": "The file is too large", "deepfake_image_link": "Image link", "deepfake_video_link": "Video link", "deepfake_title_what": "What are Thumbnails", "deepfake_filters_explanation_image": "Explanation image", "deepfake_filters_explanation_video": "Explanation video", "deepfake_image_title": "Detection results", "deepfake_image_faceswap_name": "Faceswap", "deepfake_image_faceswap_description": "This method aims to detect if the person's face has been replaced in the picture.", "deepfake_image_gan_name": "GAN", "deepfake_image_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "deepfake_image_diffusion_name": "Diffusion model", "deepfake_image_diffusion_description": "This method aims to detect if the image has been generated through a diffusion model neural network.", "deepfake_image_detection_alert": "This image has been detected as generated with a ", "deepfake_image_detection_alert_2": "algorithm", "deepfake_video_title": "Detection results", "deepfake_video_videoreport_name": "Mever Deepfake Video detector", "deepfake_video_videoreport_description": "This method aims to detect if the person's face has been replaced in the video.", "deepfake_video_ftcn_name": "Fully Temporal Convolution Network", "deepfake_video_ftcn_description": "This method aims to detect temporal anomalies for videos with faces.", "deepfake_video_facereenact_name": "Face Reenactment", "deepfake_video_facereenact_description": "This method aims to detect if the faces in the video have been synthesized with a transfer from a source face shape to a target face while preserving the appearance and the identity of the target face.", "deepfake_video_detection_alert": "This video has been detected as generated with a ", "deepfake_video_detection_alert_2": "algorithm", "button_remove": "Remove", "deepfake_no_face_detection": "No face detected", "button_localfile": "Local file", "submit_button": "Submit"}
\ No newline at end of file
+{"deepfake_label": "Media link", "deepfake_name": "Deepfake", "deepfake_placeholder": "Paste the URL here", "deepfake_support": "Your browser does not support the video tag.", "deepfake_clips": "Clips of the video", "deepfake_select": "Select a shot to see the analysis results of that clip", "deepfake_clip": "Clip selected", "deepfake_faces": "Faces recognized", "deepfake_video": "Video analyzed", "deepfake_results": "Results of the clip selected", "deepfake_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible", "deepfake_error_500": "Service internal error", "deepfake_error_413": "The file is too large", "deepfake_error_422": "The file is too large", "deepfake_image_link": "Image link", "deepfake_video_link": "Video link", "deepfake_title_what": "What are Thumbnails", "deepfake_filters_explanation_image": "Explanation image", "deepfake_filters_explanation_video": "Explanation video", "deepfake_image_title": "Detection results", "deepfake_image_faceswap_name": "Faceswap", "deepfake_image_faceswap_description": "This method aims to detect if the person's face has been replaced in the picture.", "deepfake_image_gan_name": "GAN", "deepfake_image_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "deepfake_image_diffusion_name": "Latent Diffusion model", "deepfake_image_diffusion_description": "This method aims to detect if the image has been generated through a diffusion model neural network.", "deepfake_image_detection_alert": "This image has been detected as generated with a ", "deepfake_image_detection_alert_2": "algorithm", "deepfake_video_title": "Detection results", "deepfake_video_videoreport_name": "Mever Deepfake Video detector", "deepfake_video_videoreport_description": "This method aims to detect if the person's face has been replaced in the video.", "deepfake_video_ftcn_name": "Fully Temporal Convolution Network", "deepfake_video_ftcn_description": "This method aims to detect temporal anomalies for videos with faces.", "deepfake_video_facereenact_name": "Face Reenactment", "deepfake_video_facereenact_description": "This method aims to detect if the faces in the video have been synthesized with a transfer from a source face shape to a target face while preserving the appearance and the identity of the target face.", "deepfake_video_detection_alert": "This video has been detected as generated with a ", "deepfake_video_detection_alert_2": "algorithm", "button_remove": "Remove", "deepfake_no_face_detection": "No face detected", "button_localfile": "Local file", "submit_button": "Submit"}
\ No newline at end of file
diff --git a/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json b/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json
index 0efe6a48e..4780268e9 100644
--- a/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json
+++ b/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json
@@ -1 +1 @@
-{"synthetic_image_detection_label": "Media link", "synthetic_image_detection_name": "Synthetic Image Detection", "synthetic_image_detection_placeholder": "Paste the URL here", "synthetic_image_detection_results": "Results of the clip selected", "synthetic_image_detection_link": "Image link", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "synthetic_image_detection_diffusion_name": "Diffusion model", "synthetic_image_detection_diffusion_description": "This method aims to detect if the image has been generated through a diffusion model neural network.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "This model can detect fully synthetic images generated by ProGAN Models or architectures that are similar. The model's architecture is a variant of  ResNet50, including an initial layer for residual extraction and with no downsampling in the first layer. The model is not pretrained and strong augmentations are carried out including blurring, compression, gaussian noise adding, geometric transformations, cut-out, and brightness and contrast changes.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "This model can detect fully synthetic images generated by ADMs or architectures that are similar. The model's architecture is a variant of  ResNet50, including an initial layer for residual extraction and with no downsampling in the first layer. The model is not pretrained and strong augmentations are carried out including blurring, compression, gaussian noise adding, geometric transformations, cut-out, and brightness and contrast changes.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Generative Adversarial Networks (GAN). The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Latent Diffusion Models (LDM), while exhibiting strong detection performance across several other generative methods. The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_title": "Detection results", "synthetic_image_detection_alert": "This image has been detected as generated with a ", "synthetic_image_detection_alert_2": " algorithm", "synthetic_image_detection_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible image with dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_error_generic": "An error happened. Please try again or try a different image", "synthetic_image_detection_algorithms_errors": "One or more algorithms returned errors. The analysis may be incomplete. Make sure the image has dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_not_found": "No detection found", "submit_button": "Submit", "button_localfile": "Local file", "synthetic_image_detection_gauge_detection": "Detection", "synthetic_image_detection_gauge_no_detection": "No detection", "synthetic_image_detection_additional_explanation_text": "Tip: A result above 70% indicates that an image is highly probable to have been generated by an AI model.", "synthetic_image_detection_additional_results": "Show detection details", "synthetic_image_detection_additional_results_hide": "Hide detection details", "synthetic_image_detection_rating": "Explanation: Our synthetic detection models have found ", "synthetic_image_detection_rating_4": "very strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_3": "strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_2": "moderate evidence suggesting that this image is synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_rating_1": "weak evidence suggesting that this image is synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_button_copy_text_1": "Copy text", "synthetic_image_detection_button_copy_text_2": "Text copied!", "synthetic_image_detection_alert_label_4": "Very strong evidence", "synthetic_image_detection_alert_label_3": "Strong evidence", "synthetic_image_detection_alert_label_2": "Moderate evidence (suspicious but non conclusive)", "synthetic_image_detection_alert_label_1": "Weak evidence (non conclusive)", "synthetic_image_detection_probability_text": "Probability:"}
\ No newline at end of file
+{"synthetic_image_detection_label": "Media link", "synthetic_image_detection_name": "Synthetic Image Detection", "synthetic_image_detection_placeholder": "Paste the URL here", "synthetic_image_detection_results": "Results of the clip selected", "synthetic_image_detection_link": "Image link", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "synthetic_image_detection_diffusion_name": "Latent Diffusion model", "synthetic_image_detection_diffusion_description": "This method aims to detect if the image has been generated through a diffusion model neural network.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "This model can detect fully synthetic images generated by ProGAN Models or architectures that are similar. The model's architecture is a variant of  ResNet50, including an initial layer for residual extraction and with no downsampling in the first layer. The model is not pretrained and strong augmentations are carried out including blurring, compression, gaussian noise adding, geometric transformations, cut-out, and brightness and contrast changes.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "This model can detect fully synthetic images generated by ADMs or architectures that are similar. The model's architecture is a variant of  ResNet50, including an initial layer for residual extraction and with no downsampling in the first layer. The model is not pretrained and strong augmentations are carried out including blurring, compression, gaussian noise adding, geometric transformations, cut-out, and brightness and contrast changes.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Generative Adversarial Networks (GAN). The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Latent Diffusion Models (LDM), while exhibiting strong detection performance across several other generative methods. The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_title": "Detection results", "synthetic_image_detection_alert": "This image has been detected as generated with a ", "synthetic_image_detection_alert_2": " algorithm", "synthetic_image_detection_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible image with dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_error_generic": "An error happened. Please try again or try a different image", "synthetic_image_detection_algorithms_errors": "One or more algorithms returned errors. The analysis may be incomplete. Make sure the image has dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_not_found": "No detection found", "submit_button": "Submit", "button_localfile": "Local file", "synthetic_image_detection_gauge_detection": "Detection", "synthetic_image_detection_gauge_no_detection": "No detection", "synthetic_image_detection_additional_results": "Detection details", "synthetic_image_detection_additional_results_hide": "Hide detection details", "synthetic_image_detection_rating": "Explanation: The veraAI detector of the InVID-WeVerify plugin finds ", "synthetic_image_detection_rating_4": "very strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_3": "strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_2": "moderate evidence (suspicious but non conclusive) suggesting that this image could be synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_rating_1": "weak evidence (non conclusive) suggesting that this image could be synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_button_copy_text_1": "Copy text", "synthetic_image_detection_button_copy_text_2": "Text copied!", "synthetic_image_detection_alert_label_4": "Very strong evidence", "synthetic_image_detection_alert_label_3": "Strong evidence", "synthetic_image_detection_alert_label_2": "Moderate evidence (suspicious but non conclusive)", "synthetic_image_detection_alert_label_1": "Weak evidence (non conclusive)", "synthetic_image_detection_probability_text": "Probability:", "synthetic_image_detection_generic_detection_text": "AI-Generated image detected", "synthetic_image_detection_scale_explanation_link": "What do the gauge colors mean?", "synthetic_image_detection_scale_modal_explanation_title": "What do the gauge colors mean?", "synthetic_image_detection_scale_modal_explanation_rating_1": "<50% - Weak evidence (non-conclusive)", "synthetic_image_detection_scale_modal_explanation_rating_2": "\u226550% - Moderate evidence (suspicious but non-conclusive)", "synthetic_image_detection_scale_modal_explanation_rating_3": "\u226570% - Strong evidence (AI-generated)", "synthetic_image_detection_scale_modal_explanation_rating_4": "\u226590% - Very strong evidence (AI-generated)", "synthetic_image_detection_download_gauge_button": "Download Gauge Chart as jpeg file"}
\ No newline at end of file
diff --git a/public/locales/en/components/Shared/OnWarningInfo.json b/public/locales/en/components/Shared/OnWarningInfo.json
index 9ebc1cc9a..a1be59658 100644
--- a/public/locales/en/components/Shared/OnWarningInfo.json
+++ b/public/locales/en/components/Shared/OnWarningInfo.json
@@ -1 +1 @@
-{"warning_sna": "This feature is computer-intensive and is reserved for journalists fact-checkers and researchers. See on the Tools' page top right to get more info.", "error": "An error occurred while processing your query", "error_invalid_url": "Error: not a valid url", "warning_forensic": "This enhanced forensic toolkit aims to help you detect alterations in manipulated images. You should avoid using it with screenshots scanned images of documents or juxtaposed images that are in fact altered images. More filters are highlighting the same zone more suspicious is that particular area of the image. Please take into account that forensic filters are outlining any digital signal alteration and not only semantically manipulated artefacts (which means false positives are possible). Some complex textures or excess of luminance may also alter the signal without any manipulation intention. Whenever possible use systematically the best image resolution available (even by searching through similarity for higher resolution identical images).", "warning_advanced_tools": "This tool is reserved for journalists fact checkers and researchers; you need to unlock the advanced tools in the upper right corner of the Tools page to apply and use it.", "warning_beta": "Warning: this is an experimental tool under development and may contain bugs or errors. Do not use in production.", "warning_beta_synthetic_image_detection": "This is a beta version tool aiming to detect synthetic images generated through Dall-E, Midjourney or other kind of Diffusion models.", "warning_beta_loccus": "This is a beta version tool aiming to detect voice cloning in audio files. Do no hesitate to test it with smaller fragments if you believe that the track has been edited to insert parts of voice cloning in it. It only works with Al-generated text-to-speech. No human imitation or real voice post-edition can be detected with this feature.", "warning_file_too_big": "The file is too large", "warning_file_too_small": "The file is too small"}
\ No newline at end of file
+{"warning_sna": "This feature is computer-intensive and is reserved for journalists fact-checkers and researchers. See on the Tools' page top right to get more info.", "error": "An error occurred while processing your query", "error_invalid_url": "Error: not a valid url", "warning_forensic": "This enhanced forensic toolkit aims to help you detect alterations in manipulated images. You should avoid using it with screenshots scanned images of documents or juxtaposed images that are in fact altered images. More filters are highlighting the same zone more suspicious is that particular area of the image. Please take into account that forensic filters are outlining any digital signal alteration and not only semantically manipulated artefacts (which means false positives are possible). Some complex textures or excess of luminance may also alter the signal without any manipulation intention. Whenever possible use systematically the best image resolution available (even by searching through similarity for higher resolution identical images).", "warning_advanced_tools": "This tool is reserved for journalists fact checkers and researchers; you need to unlock the advanced tools in the upper right corner of the Tools page to apply and use it.", "warning_beta": "Warning: this is an experimental tool under development. It has been improved recently within veraai.eu project but may still have bugs or errors. Use with caution. In case of doubt, try to use other third-party tools to confirm any result.", "warning_beta_synthetic_image_detection": "This is a beta version tool aiming to detect synthetic images generated through Dall-E, Midjourney or other kind of Diffusion models. A probability equal or above 70% is considered a detection.", "warning_beta_loccus": "This is a beta version tool aiming to detect voice cloning in audio files. Do no hesitate to test it with smaller fragments if you believe that the track has been edited to insert parts of voice cloning in it. It only works with Al-generated text-to-speech. No human imitation or real voice post-edition can be detected with this feature.", "warning_file_too_big": "The file is too large", "warning_file_too_small": "The file is too small"}
\ No newline at end of file
diff --git a/src/components/NavItems/Assistant/AssistantRuleBook.jsx b/src/components/NavItems/Assistant/AssistantRuleBook.jsx
index 90b8a1b9c..10f6cf5dd 100644
--- a/src/components/NavItems/Assistant/AssistantRuleBook.jsx
+++ b/src/components/NavItems/Assistant/AssistantRuleBook.jsx
@@ -5,6 +5,7 @@ import magnifierIconOff from "../../NavBar/images/tools/magnifierOff.png";
 import metadataIconOff from "../../NavBar/images/tools/metadataOff.png";
 import videoRightsIconOff from "../../NavBar/images/tools/copyrightOff.png";
 import forensicIconOff from "../../NavBar/images/tools/forensic_logoOff.png";
+import videoIconOff from "../../NavBar/images/tools/video_logoOff.png";
 
 export const NE_SUPPORTED_LANGS = ["en", "pt", "fr", "de", "el", "es", "it"];
 
@@ -20,11 +21,13 @@ export const KNOWN_LINKS = {
   TIKTOK: "tiktok",
   TELEGRAM: "telegram",
   YOUTUBE: "youtube",
+  YOUTUBESHORTS: "youtubeshorts",
   DAILYMOTION: "dailymotion",
   LIVELEAK: "liveleak",
   VIMEO: "vimeo",
   MASTODON: "mastodon",
   OWN: "own",
+  VK: "vk",
   MISC: "general",
 };
 
@@ -70,6 +73,12 @@ export const KNOWN_LINK_PATTERNS = [
       "(https?:\\/{2})?(www.)?((youtube.com\\/watch\\?v=)|youtu.be\\/)([a-zA-Z0-9_-]{11})",
     ],
   },
+  {
+    key: KNOWN_LINKS.YOUTUBESHORTS,
+    patterns: [
+      "(https?:\\/{2})?(www.)?((youtube.com\\/shorts\\/))([a-zA-Z0-9_-]{11})",
+    ],
+  },
   {
     key: KNOWN_LINKS.VIMEO,
     patterns: ["^(https?:/{2})?(www.)?vimeo.com/\\d*"],
@@ -86,6 +95,12 @@ export const KNOWN_LINK_PATTERNS = [
     key: KNOWN_LINKS.MASTODON,
     patterns: ["^(?:https?:/{2})?(www.)?.+..+/@.*/d*"],
   },
+  {
+    key: KNOWN_LINKS.VK,
+    patterns: [
+      "(https?:\\/{2})?(www.)?vk.com\\/(wall|video)(-?)\\d*_\\d*(\\??)",
+    ],
+  },
   {
     key: KNOWN_LINKS.MISC,
     patterns: [
@@ -131,9 +146,10 @@ export const ASSISTANT_ACTIONS = [
       KNOWN_LINKS.DAILYMOTION,
       KNOWN_LINKS.VIMEO,
       KNOWN_LINKS.YOUTUBE,
+      KNOWN_LINKS.YOUTUBESHORTS,
       KNOWN_LINKS.LIVELEAK,
       KNOWN_LINKS.OWN,
-      KNOWN_LINKS.TELEGRAM,
+      KNOWN_LINKS.INSTAGRAM,
     ],
     cTypes: [CONTENT_TYPE.VIDEO],
     exceptions: [],
@@ -214,18 +230,29 @@ export const ASSISTANT_ACTIONS = [
     tsvPrefix: "ocr",
     path: "tools/ocr",
   },
+  {
+    title: "assistant_video_download_action",
+    icon: videoIconOff,
+    linksAccepted: [KNOWN_LINKS.TELEGRAM, KNOWN_LINKS.MISC],
+    cTypes: [CONTENT_TYPE.VIDEO],
+    exceptions: [],
+    useInputUrl: false,
+    text: "assistant_video_download_action_description",
+    tsvPrefix: "assistant_video",
+    download: true,
+  },
 ];
 
 export const selectCorrectActions = (
   contentType,
-  inputUrlTYpe,
+  inputUrlType,
   processUrlType,
   processUrl,
 ) => {
   let possibleActions = ASSISTANT_ACTIONS.filter(
     (action) =>
       ((action.useInputUrl &&
-        action.linksAccepted.includes(inputUrlTYpe) &&
+        action.linksAccepted.includes(inputUrlType) &&
         action.cTypes.includes(contentType)) ||
         (!action.useInputUrl &&
           action.linksAccepted.includes(processUrlType) &&
diff --git a/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantProcessUrlActions.jsx b/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantProcessUrlActions.jsx
index 0fa20c077..2376f6942 100644
--- a/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantProcessUrlActions.jsx
+++ b/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantProcessUrlActions.jsx
@@ -28,20 +28,29 @@ const AssistantProcessUrlActions = () => {
     (state) => state.assistant.processUrlActions,
   );
 
-  const handleClick = (path, resultUrl) => {
-    if (resultUrl != null) {
+  const handleClick = (action) => {
+    const resultUrl = action.useInputUrl ? inputUrl : processUrl;
+    if (action.download) {
+      // Creates an A tag for downloading the video
+      let dl = document.createElement("a");
+      dl.setAttribute("href", resultUrl);
+      dl.setAttribute("download", "");
+      dl.click();
+    } else if (resultUrl != null) {
       navigate(
         "/app/" +
-          path +
+          action.path +
           "/" +
           encodeURIComponent(resultUrl) +
           "/" +
           contentType,
       );
-      //history.push("/app/" + path + "/" + encodeURIComponent(resultUrl) + "/" + contentType)
+      //history.push("/app/" + action.path + "/" + encodeURIComponent(resultUrl) + "/" + contentType)
     } else {
-      navigate("/app/" + path + "/" + KNOWN_LINKS.OWN + "/" + contentType);
-      //history.push("/app/" + path + "/" + KNOWN_LINKS.OWN + "/" + contentType)
+      navigate(
+        "/app/" + action.path + "/" + KNOWN_LINKS.OWN + "/" + contentType,
+      );
+      //history.push("/app/" + action.path + "/" + KNOWN_LINKS.OWN + "/" + contentType)
     }
   };
 
@@ -57,16 +66,9 @@ const AssistantProcessUrlActions = () => {
       <List>
         {processUrlActions.map((action, index) => {
           return (
-            <Box m={2} key={index}>
+            <Box m={2} key={index} style={{ cursor: "pointer" }}>
               <Card className={classes.assistantHover} variant={"outlined"}>
-                <ListItem
-                  onClick={() =>
-                    handleClick(
-                      action.path,
-                      action.useInputUrl ? inputUrl : processUrl,
-                    )
-                  }
-                >
+                <ListItem onClick={() => handleClick(action)}>
                   <ListItemAvatar>
                     <Avatar variant={"square"} src={action.icon} />
                   </ListItemAvatar>
diff --git a/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantVideoResult.jsx b/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantVideoResult.jsx
index fd4916a1d..3fcfc9d44 100644
--- a/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantVideoResult.jsx
+++ b/src/components/NavItems/Assistant/AssistantScrapeResults/AssistantVideoResult.jsx
@@ -28,7 +28,7 @@ const AssistantVideoResult = () => {
   const input_url_type = useSelector((state) => state.assistant.inputUrlType);
 
   const useIframe = () => {
-    switch (process_url_type) {
+    switch (input_url_type) {
       case KNOWN_LINKS.YOUTUBE:
       case KNOWN_LINKS.VIMEO:
       case KNOWN_LINKS.DAILYMOTION:
@@ -40,7 +40,10 @@ const AssistantVideoResult = () => {
   };
 
   const downloadVideoFound = () => {
-    return input_url_type === KNOWN_LINKS.INSTAGRAM;
+    switch (input_url_type) {
+      default:
+        return false;
+    }
   };
 
   const preprocessLinkForEmbed = (processUrl) => {
@@ -48,7 +51,7 @@ const AssistantVideoResult = () => {
     let stringToMatch = "";
     let positionOne = 0;
 
-    switch (process_url_type) {
+    switch (input_url_type) {
       case KNOWN_LINKS.YOUTUBE:
         if (!embedURL.includes("/embed/")) {
           let ids = embedURL.match("(?<=v=|youtu.be/)([a-zA-Z0-9_-]+)[&|?]?");
@@ -57,6 +60,10 @@ const AssistantVideoResult = () => {
           }
         }
         break;
+      case KNOWN_LINKS.YOUTUBESHORTS:
+      case KNOWN_LINKS.VK:
+        embedURL = null; // Null as youtube shorts and vk do not support embedding
+        break;
       case KNOWN_LINKS.VIMEO:
         stringToMatch = "vimeo.com/";
         positionOne = processUrl.indexOf(stringToMatch);
@@ -89,7 +96,7 @@ const AssistantVideoResult = () => {
   return (
     <Card variant={"outlined"}>
       <CardMedia>
-        {useIframe() ? (
+        {useIframe() && preprocessLinkForEmbed(processUrl) && (
           <Iframe
             hidden={downloadVideoFound()}
             frameBorder="0"
@@ -98,7 +105,8 @@ const AssistantVideoResult = () => {
             height="400"
             width="100%"
           />
-        ) : (
+        )}
+        {!useIframe() && preprocessLinkForEmbed(processUrl) && (
           <video
             hidden={downloadVideoFound()}
             src={preprocessLinkForEmbed(processUrl)}
@@ -107,6 +115,19 @@ const AssistantVideoResult = () => {
             width="100%"
           />
         )}
+        {!preprocessLinkForEmbed(processUrl) && (
+          <div
+            style={{
+              width: "100%",
+              height: "400px",
+              display: "flex",
+              alignItems: "center",
+              justifyContent: "center",
+            }}
+          >
+            <div>{keyword("embedding_not_supported")}</div>
+          </div>
+        )}
       </CardMedia>
       <CardMedia hidden={!downloadVideoFound()}>
         <Typography
diff --git a/src/components/NavItems/tools/Gif/AnimatedGif.jsx b/src/components/NavItems/tools/Gif/AnimatedGif.jsx
index dc8b6bc82..224b1faf5 100644
--- a/src/components/NavItems/tools/Gif/AnimatedGif.jsx
+++ b/src/components/NavItems/tools/Gif/AnimatedGif.jsx
@@ -7,11 +7,16 @@ import {
   CardMedia,
   Slider,
   Button,
+  Card,
+  CardContent,
+  Alert,
 } from "@mui/material";
 import useMyStyles from "../../../Shared/MaterialUiStyles/useMyStyles";
 import { i18nLoadNamespace } from "components/Shared/Languages/i18nLoadNamespace";
 import { useState, useEffect } from "react";
 import ImageCanvas from "../Forensic/components/imageCanvas/imageCanvas";
+import TextImageCanvas from "./Components/TextImageCanvas";
+import { Edit, PlayArrow } from "@mui/icons-material";
 
 const AnimatedGif = ({
   toolState,
@@ -32,6 +37,37 @@ const AnimatedGif = ({
   const [imageDataURL, setImageDataURL] = React.useState();
   const [filterDataURL, setFilterDataURL] = React.useState();
 
+  //=== PAUSE AND ANNOTATION BUTTONS ===
+
+  const [paused, setPaused] = useState(false);
+  const [annotation, setAnnotation] = useState(false);
+
+  //
+  /**
+   * Pauses the animation or starts it again
+   * @param {boolean | ((prevState: boolean) => boolean)} newPauseValue
+   */
+  function pauseUnpause(newPauseValue) {
+    if (!newPauseValue) {
+      setIntervalVar(setInterval(() => animateImages(), speed));
+    } else {
+      setIntervalVar(null);
+      var x = document.getElementById("gifFilterElement");
+      x.style.display = "none";
+    }
+
+    setPaused(newPauseValue);
+  }
+
+  /**
+   * Function that adds or removes "Fake" annotation and pauses the gif when added
+   * @param {boolean | ((prevState: boolean) => boolean)} newAnnotation
+   */
+  function addRemoveAnnotation(newAnnotation) {
+    pauseUnpause(!paused);
+    setAnnotation(newAnnotation);
+  }
+
   //=== SPEED SLIDER ===
   const [speed, setSpeed] = useState(1100);
 
@@ -44,7 +80,7 @@ const AnimatedGif = ({
   function commitChangeSpeed(value) {
     //console.log("Commit change speed: " + value); //DEBUG
     //clearInterval(interval);
-    setIntervalVar(setInterval(() => animateImages(), value));
+    if (!paused) setIntervalVar(setInterval(() => animateImages(), value));
   }
   //Loop function
   function animateImages() {
@@ -71,7 +107,11 @@ const AnimatedGif = ({
   //=== TRIGGER AND CLOSE ANIMATION ===
   useEffect(() => {
     //console.log("toolState ", toolState)
-    if (toolState === 5 && (interval === null || interval === undefined)) {
+    if (
+      toolState === 5 &&
+      (interval === null || interval === undefined) &&
+      !paused
+    ) {
       setIntervalVar(setInterval(() => animateImages(), speed));
     }
     return () => {
@@ -95,8 +135,6 @@ const AnimatedGif = ({
   }, []);
   //Function to prepare the files to trigger the download
   const handleDownload = (type) => {
-    //console.log(toolState);
-
     let files = {
       image1: isCanvas ? imageDataURL : homoImg1,
       image2: isCanvas ? filterDataURL : homoImg2,
@@ -166,7 +204,6 @@ const AnimatedGif = ({
         <Grid item>
           <Typography gutterBottom>{keyword("slider_title")}</Typography>
           <Slider
-            p={6}
             defaultValue={-1100}
             aria-labelledby="discrete-slider"
             step={300}
@@ -223,18 +260,51 @@ const AnimatedGif = ({
           <Typography variant="h6" className={classes.headingGif}>
             {keyword("title_preview")}
           </Typography>
+
           <Box justifyContent="center" className={classes.wrapperImageFilter}>
-            <CardMedia
-              component="img"
-              className={classes.imagesGifImage}
-              image={homoImg1}
-            />
-            <CardMedia
-              component="img"
-              className={classes.imagesGifFilter}
-              image={homoImg2}
-              id="gifFilterElement"
-            />
+            <Box className={classes.imagesGifImage}>
+              <TextImageCanvas
+                imgSrc={homoImg1}
+                text="Fake"
+                filterDataURL={setImageDataURL}
+                paused={paused}
+                annotation={annotation}
+              />
+            </Box>
+            <Box id="gifFilterElement" className={classes.imagesGifFilter}>
+              <TextImageCanvas
+                imgSrc={homoImg2}
+                filterDataURL={setFilterDataURL}
+                text={null}
+                paused={false}
+                annotation={false}
+              />
+            </Box>
+            <Box m={3} />
+            {(annotation || paused) && (
+              <>
+                <Button
+                  variant="outlined"
+                  color="primary"
+                  disabled={toolState === 7}
+                  onClick={() => pauseUnpause(!paused)}
+                  startIcon={paused ? <PlayArrow /> : <Edit />}
+                >
+                  {paused ? keyword("button_play") : keyword("button_modify")}
+                </Button>
+                <Box m={1} />
+              </>
+            )}
+            <Button
+              variant="outlined"
+              color={annotation ? "error" : "primary"}
+              disabled={toolState === 7}
+              onClick={() => addRemoveAnnotation(!annotation)}
+            >
+              {annotation ? keyword("button_remove") : keyword("button_add")}
+            </Button>
+            <Box m={1} />
+            <Alert severity="info">{keyword("fake_annotation_tip")}</Alert>
           </Box>
           <Grid
             container
@@ -242,7 +312,7 @@ const AnimatedGif = ({
             justifyContent="center"
             alignItems="center"
           >
-            <Box m={4} />
+            <Box m={3} />
 
             <Typography gutterBottom>{keyword("slider_title")}</Typography>
 
diff --git a/src/components/NavItems/tools/Gif/CheckGif.jsx b/src/components/NavItems/tools/Gif/CheckGif.jsx
index 46f77e1b8..985b19076 100644
--- a/src/components/NavItems/tools/Gif/CheckGif.jsx
+++ b/src/components/NavItems/tools/Gif/CheckGif.jsx
@@ -505,7 +505,7 @@ const CheckGif = () => {
             <Grid container spacing={3}>
               <Grid
                 item
-                xs={6}
+                xs={5}
                 style={{ borderRight: "0.1em solid #ECECEC", padding: "0.5em" }}
               >
                 <Box p={2}>
@@ -705,7 +705,7 @@ const CheckGif = () => {
                 </Box>
               </Grid>
 
-              <Grid item xs={6} style={{ padding: "0.5em" }}>
+              <Grid item xs={7} style={{ padding: "0.5em" }}>
                 {(toolState === 21 || toolState === 22 || toolState === 3) && (
                   <Grid
                     container
@@ -744,7 +744,8 @@ const CheckGif = () => {
                     toolState={toolState}
                     homoImg1={homoImg1}
                     homoImg2={homoImg2}
-                  />
+                    isCanvas={true}
+                  ></AnimatedGif>
                 )}
               </Grid>
             </Grid>
diff --git a/src/components/NavItems/tools/Gif/Components/TextImageCanvas.jsx b/src/components/NavItems/tools/Gif/Components/TextImageCanvas.jsx
new file mode 100644
index 000000000..767445b8b
--- /dev/null
+++ b/src/components/NavItems/tools/Gif/Components/TextImageCanvas.jsx
@@ -0,0 +1,153 @@
+import React, { useEffect, useState } from "react";
+import { Image, Layer, Stage, Text } from "react-konva";
+import { preloadImage } from "../../Forensic/utils";
+import {
+  Alert,
+  Box,
+  FormControl,
+  Grid,
+  InputLabel,
+  MenuItem,
+  Select,
+  Slider,
+  Typography,
+} from "@mui/material";
+import useMyStyles from "components/Shared/MaterialUiStyles/useMyStyles";
+import { i18nLoadNamespace } from "components/Shared/Languages/i18nLoadNamespace";
+
+const TextImageCanvas = ({
+  imgSrc,
+  text,
+  filterDataURL,
+  paused,
+  annotation,
+}) => {
+  const classes = useMyStyles();
+  const keyword = i18nLoadNamespace("components/NavItems/tools/CheckGIF");
+
+  const stageRef = React.useRef(null);
+  const [img, setImg] = useState(null);
+  const [textColor, setTextColor] = useState("red");
+  const [textSize, setTextSize] = useState(35);
+
+  const handleExport = () => {
+    if (!stageRef.current) return;
+    const uri = stageRef.current.toDataURL();
+    filterDataURL(uri);
+  };
+
+  const changeColor = (event) => {
+    setTextColor(event.target.value);
+  };
+
+  // loads image
+  useEffect(() => {
+    async function loadAndPreloadImage() {
+      const loadedImg = await preloadImage(imgSrc);
+      setImg(loadedImg);
+    }
+
+    loadAndPreloadImage();
+    if (img) handleExport();
+  }, [imgSrc, img]);
+
+  if (img) {
+    //calculates width and height used for the canvas, to have the same proportions as the image
+    //gifs have a default width of 600 pixels
+    const imgRatio = img.naturalWidth / img.naturalHeight;
+    const width = 600;
+    const height = 600 / imgRatio;
+
+    return (
+      <Grid
+        container
+        direction="row"
+        justifyContent="flex-start"
+        alignItems="center"
+      >
+        <Grid item>
+          <Stage width={width} height={height}>
+            <Layer ref={stageRef}>
+              <Image image={img} width={width} height={height} />
+              {annotation && (
+                <Text
+                  x={80}
+                  y={80}
+                  text={text}
+                  fontSize={textSize}
+                  draggable
+                  fill={textColor}
+                  onDragEnd={handleExport}
+                />
+              )}
+            </Layer>
+          </Stage>
+        </Grid>
+        <Grid item>
+          {paused && (
+            <>
+              <Grid container direction="column">
+                <Grid item>
+                  <Box m={3} />
+                  <FormControl>
+                    <InputLabel id="demo-simple-select-label">
+                      {keyword("colour_label")}
+                    </InputLabel>
+                    <Select
+                      labelId="demo-simple-select-label"
+                      id="demo-simple-select"
+                      value={textColor}
+                      label="Age"
+                      onChange={changeColor}
+                    >
+                      <MenuItem value={"red"}>{keyword("colour_red")}</MenuItem>
+                      <MenuItem value={"blue"}>
+                        {keyword("colour_blue")}
+                      </MenuItem>
+                      <MenuItem value={"white"}>
+                        {keyword("colour_white")}
+                      </MenuItem>
+                    </Select>
+                  </FormControl>
+                </Grid>
+                <Grid item>
+                  <Grid
+                    container
+                    direction="column"
+                    justifyContent="center"
+                    alignItems="center"
+                  >
+                    <Typography gutterBottom>
+                      {keyword("text_size_label")}
+                    </Typography>
+                    <Slider
+                      defaultValue={60}
+                      aria-labelledby="discrete-slider"
+                      step={5}
+                      min={25}
+                      max={95}
+                      onChange={(_e, val) => {
+                        if (typeof val !== "number") return;
+                        setTextSize(val);
+                      }}
+                      className={classes.sliderClass}
+                    />
+                  </Grid>
+                </Grid>
+                <Grid item>
+                  <Box m={1} />
+                  <Alert severity="info">{keyword("draggable_text_tip")}</Alert>
+                  <Box m={3} />
+                </Grid>
+              </Grid>
+            </>
+          )}
+        </Grid>
+      </Grid>
+    );
+  } else {
+    return;
+  }
+};
+
+export default TextImageCanvas;
diff --git a/src/components/NavItems/tools/SyntheticImageDetection/index.jsx b/src/components/NavItems/tools/SyntheticImageDetection/index.jsx
index 9a8f1a25d..04a869e11 100644
--- a/src/components/NavItems/tools/SyntheticImageDetection/index.jsx
+++ b/src/components/NavItems/tools/SyntheticImageDetection/index.jsx
@@ -14,6 +14,7 @@ import {
   CardHeader,
   Grid,
   LinearProgress,
+  Stack,
 } from "@mui/material";
 
 import useMyStyles from "../../../Shared/MaterialUiStyles/useMyStyles";
@@ -211,7 +212,7 @@ const SyntheticImageDetection = () => {
   };
 
   return (
-    <div>
+    <Box>
       <HeaderTool
         name={keywordAllTools("navbar_synthetic_image_detection")}
         description={keywordAllTools(
@@ -224,11 +225,11 @@ const SyntheticImageDetection = () => {
         }
       />
 
-      <Alert severity="warning">
-        {keywordWarning("warning_beta_synthetic_image_detection")}
-      </Alert>
-
-      <Box m={3} />
+      <Stack direction="column" spacing={2} mb={4}>
+        <Alert severity="warning">
+          {keywordWarning("warning_beta_synthetic_image_detection")}
+        </Alert>
+      </Stack>
 
       <Card>
         <CardHeader
@@ -282,7 +283,7 @@ const SyntheticImageDetection = () => {
           handleClose={handleClose}
         />
       )}
-    </div>
+    </Box>
   );
 };
 
diff --git a/src/components/NavItems/tools/SyntheticImageDetection/syntheticImageDetectionResults.jsx b/src/components/NavItems/tools/SyntheticImageDetection/syntheticImageDetectionResults.jsx
index cc7aa063a..8d300e138 100644
--- a/src/components/NavItems/tools/SyntheticImageDetection/syntheticImageDetectionResults.jsx
+++ b/src/components/NavItems/tools/SyntheticImageDetection/syntheticImageDetectionResults.jsx
@@ -4,23 +4,29 @@ import {
   AccordionDetails,
   AccordionSummary,
   Alert,
+  Backdrop,
   Box,
   Card,
   CardHeader,
   Chip,
   Divider,
+  Fade,
   Grid,
   IconButton,
+  Link,
+  Modal,
   Stack,
   Typography,
 } from "@mui/material";
-import { Close, ExpandMore } from "@mui/icons-material";
+import { Close, Download, ExpandMore, Square } from "@mui/icons-material";
 import { i18nLoadNamespace } from "components/Shared/Languages/i18nLoadNamespace";
 import { useSelector } from "react-redux";
 import { useTrackEvent } from "Hooks/useAnalytics";
 import { getclientId } from "components/Shared/GoogleAnalytics/MatomoAnalytics";
 import CustomAlertScore from "../../../Shared/CustomAlertScore";
 import GaugeChart from "react-gauge-chart";
+import Tooltip from "@mui/material/Tooltip";
+import html2canvas from "html2canvas";
 
 const SyntheticImageDetectionResults = (props) => {
   const keyword = i18nLoadNamespace(
@@ -83,6 +89,10 @@ const SyntheticImageDetectionResults = (props) => {
 
   const [resultsHaveErrors, setResultsHaveErrors] = useState(false);
 
+  const [openGaugeColorsModal, setOpenGaugeColorsModal] = React.useState(false);
+
+  const gaugeChartRef = useRef(null);
+
   useEffect(() => {
     setResultsHaveErrors(false);
 
@@ -246,6 +256,45 @@ const SyntheticImageDetectionResults = (props) => {
         );
   };
 
+  const handleOpenGaugeColorsModal = () => {
+    setOpenGaugeColorsModal(true);
+  };
+
+  const handleCloseGaugeColorsModal = () => setOpenGaugeColorsModal(false);
+
+  const gaugeColorsModalStyle = {
+    position: "absolute",
+    top: "50%",
+    left: "50%",
+    transform: "translate(-50%, -50%)",
+    minWidth: "400px",
+    width: "30vw",
+    backgroundColor: "background.paper",
+    outline: "unset",
+    borderRadius: "10px",
+    boxShadow: 24,
+    p: 4,
+    maxHeight: "60vh",
+    overflow: "auto",
+  };
+
+  const downloadGaugeChartAsPng = async () => {
+    const canvas = await html2canvas(gaugeChartRef.current).catch((e) =>
+      console.log(e),
+    );
+    console.log(canvas);
+    console.log(gaugeChartRef.current);
+    const img = canvas.toDataURL("image/jpeg", 1.0);
+    const link = document.createElement("a");
+    link.style.display = "none";
+    link.download = "gaugeChart";
+    link.href = img;
+    document.body.appendChild(link);
+    link.click();
+    document.body.removeChild(link);
+    link.remove();
+  };
+
   return (
     <Stack
       direction="row"
@@ -270,7 +319,7 @@ const SyntheticImageDetectionResults = (props) => {
           alignItems="flex-start"
         >
           <Grid item sm={12} md={6}>
-            <Box sx={{ width: "100%", height: "100%", position: "relative" }}>
+            <Box sx={{ width: "100%", height: "100%" }}>
               <Grid
                 container
                 direction="row"
@@ -303,57 +352,194 @@ const SyntheticImageDetectionResults = (props) => {
                 spacing={4}
                 width="100%"
                 sx={{ boxSizing: "border-box" }}
+                position="relative"
               >
                 <Stack
-                  direction="column"
+                  direction={{ sm: "column", md: "row" }}
+                  alignItems={{ sm: "start", md: "center" }}
                   justifyContent="center"
-                  alignItems="center"
-                  spacing={0}
                   width="100%"
                 >
-                  <GaugeChart
-                    id={"gauge-chart"}
-                    animate={false}
-                    nrOfLevels={4}
-                    textColor={"black"}
-                    arcsLength={[
-                      (100 - DETECTION_THRESHOLDS.THRESHOLD_1) / 100,
-                      (DETECTION_THRESHOLDS.THRESHOLD_2 -
-                        DETECTION_THRESHOLDS.THRESHOLD_1) /
-                        100,
-                      (DETECTION_THRESHOLDS.THRESHOLD_3 -
-                        DETECTION_THRESHOLDS.THRESHOLD_2) /
-                        100,
-                      (100 - DETECTION_THRESHOLDS.THRESHOLD_3) / 100,
-                    ]}
-                    percent={syntheticImageScores ? maxScore / 100 : 0}
-                    style={{ width: 250 }}
-                  />
+                  <Box m={2}></Box>
                   <Stack
-                    direction="row"
+                    direction="column"
                     justifyContent="center"
                     alignItems="center"
-                    spacing={10}
+                    spacing={2}
+                    ref={gaugeChartRef}
+                    p={2}
                   >
-                    <Typography variant="subtitle2">
-                      {keyword("synthetic_image_detection_gauge_no_detection")}
-                    </Typography>
-                    <Typography variant="subtitle2">
-                      {keyword("synthetic_image_detection_gauge_detection")}
-                    </Typography>
+                    {maxScore > DETECTION_THRESHOLDS.THRESHOLD_2 && (
+                      <Typography
+                        variant="h5"
+                        align="center"
+                        alignSelf="center"
+                        sx={{ color: "red" }}
+                      >
+                        {keyword(
+                          "synthetic_image_detection_generic_detection_text",
+                        )}
+                      </Typography>
+                    )}
+                    <Stack
+                      direction="column"
+                      justifyContent="center"
+                      alignItems="center"
+                    >
+                      <GaugeChart
+                        id={"gauge-chart"}
+                        animate={false}
+                        nrOfLevels={4}
+                        textColor={"black"}
+                        arcsLength={[
+                          (100 - DETECTION_THRESHOLDS.THRESHOLD_1) / 100,
+                          (DETECTION_THRESHOLDS.THRESHOLD_2 -
+                            DETECTION_THRESHOLDS.THRESHOLD_1) /
+                            100,
+                          (DETECTION_THRESHOLDS.THRESHOLD_3 -
+                            DETECTION_THRESHOLDS.THRESHOLD_2) /
+                            100,
+                          (100 - DETECTION_THRESHOLDS.THRESHOLD_3) / 100,
+                        ]}
+                        percent={syntheticImageScores ? maxScore / 100 : 0}
+                        style={{
+                          minWidth: "250px",
+                          width: "50%",
+                          maxWidth: "500px",
+                        }}
+                      />
+
+                      <Stack
+                        direction="row"
+                        justifyContent="center"
+                        alignItems="center"
+                        spacing={10}
+                      >
+                        <Typography variant="subtitle2">
+                          {keyword(
+                            "synthetic_image_detection_gauge_no_detection",
+                          )}
+                        </Typography>
+                        <Typography variant="subtitle2">
+                          {keyword("synthetic_image_detection_gauge_detection")}
+                        </Typography>
+                      </Stack>
+                    </Stack>
                   </Stack>
+                  <Box alignSelf={{ sm: "flex-start", md: "flex-end" }}>
+                    <Tooltip
+                      title={keyword(
+                        "synthetic_image_detection_download_gauge_button",
+                      )}
+                    >
+                      <IconButton
+                        color="primary"
+                        aria-label="download chart"
+                        onClick={downloadGaugeChartAsPng}
+                      >
+                        <Download />
+                      </IconButton>
+                    </Tooltip>
+                  </Box>
                 </Stack>
+
+                <Link
+                  onClick={handleOpenGaugeColorsModal}
+                  sx={{ cursor: "pointer" }}
+                  variant={"body1"}
+                >
+                  {keyword("synthetic_image_detection_scale_explanation_link")}
+                </Link>
+                <Modal
+                  aria-labelledby="transition-modal-title"
+                  aria-describedby="transition-modal-description"
+                  open={openGaugeColorsModal}
+                  onClose={handleCloseGaugeColorsModal}
+                  closeAfterTransition
+                  slots={{ backdrop: Backdrop }}
+                  slotProps={{
+                    backdrop: {
+                      timeout: 500,
+                    },
+                  }}
+                >
+                  <Fade in={openGaugeColorsModal}>
+                    <Box sx={gaugeColorsModalStyle}>
+                      <Stack
+                        direction="row"
+                        justifyContent="space-between"
+                        alignItems="center"
+                        spacing={2}
+                      >
+                        <Typography
+                          id="transition-modal-title"
+                          variant="subtitle2"
+                          style={{
+                            color: "#00926c",
+                            fontSize: "24px",
+                          }}
+                        >
+                          {keyword(
+                            "synthetic_image_detection_scale_modal_explanation_title",
+                          )}
+                        </Typography>
+                        <IconButton
+                          variant="outlined"
+                          aria-label="close popup"
+                          onClick={handleCloseGaugeColorsModal}
+                        >
+                          <Close />
+                        </IconButton>
+                      </Stack>
+                      <Stack
+                        id="transition-modal-description"
+                        direction="column"
+                        spacing={2}
+                        mt={2}
+                      >
+                        <Stack direction="row" alignItems="center" spacing={1}>
+                          <Square fontSize="large" sx={{ color: "#00FF00" }} />
+                          <Typography>
+                            {keyword(
+                              "synthetic_image_detection_scale_modal_explanation_rating_1",
+                            )}
+                          </Typography>
+                        </Stack>
+                        <Stack direction="row" alignItems="center" spacing={1}>
+                          <Square fontSize="large" sx={{ color: "#AAFF03" }} />
+                          <Typography>
+                            {keyword(
+                              "synthetic_image_detection_scale_modal_explanation_rating_2",
+                            )}
+                          </Typography>
+                        </Stack>
+
+                        <Stack direction="row" alignItems="center" spacing={1}>
+                          <Square fontSize="large" sx={{ color: "#FFA903" }} />
+                          <Typography>
+                            {keyword(
+                              "synthetic_image_detection_scale_modal_explanation_rating_3",
+                            )}
+                          </Typography>
+                        </Stack>
+                        <Stack direction="row" alignItems="center" spacing={1}>
+                          <Square fontSize="large" sx={{ color: "#FF0000" }} />
+                          <Typography>
+                            {keyword(
+                              "synthetic_image_detection_scale_modal_explanation_rating_4",
+                            )}
+                          </Typography>
+                        </Stack>
+                      </Stack>
+                    </Box>
+                  </Fade>
+                </Modal>
                 <CustomAlertScore
                   score={syntheticImageScores ? maxScore : 0}
                   detectionType={undefined}
                   toolName={"SyntheticImageDetection"}
                   thresholds={DETECTION_THRESHOLDS}
                 />
-                <Typography>
-                  {keyword(
-                    "synthetic_image_detection_additional_explanation_text",
-                  )}
-                </Typography>
                 {resultsHaveErrors && (
                   <Alert severity="error">
                     {keyword("synthetic_image_detection_algorithms_errors")}
@@ -395,7 +581,7 @@ const SyntheticImageDetectionResults = (props) => {
                                       }
                                     </Typography>
                                     <Stack
-                                      direction="row"
+                                      direction={{ lg: "row", md: "column" }}
                                       spacing={2}
                                       alignItems="center"
                                     >
diff --git a/src/components/Shared/CustomAlertScore/index.jsx b/src/components/Shared/CustomAlertScore/index.jsx
index 552aadacf..412d9f294 100644
--- a/src/components/Shared/CustomAlertScore/index.jsx
+++ b/src/components/Shared/CustomAlertScore/index.jsx
@@ -2,6 +2,7 @@ import React from "react";
 import { Alert } from "@mui/material";
 import CopyButton from "../CopyButton";
 import { i18nLoadNamespace } from "../Languages/i18nLoadNamespace";
+import Typography from "@mui/material/Typography";
 
 const CustomAlertScore = ({ score, detectionType, toolName, thresholds }) => {
   const keyword = i18nLoadNamespace(`components/NavItems/tools/${toolName}`);
@@ -103,7 +104,7 @@ const CustomAlertScore = ({ score, detectionType, toolName, thresholds }) => {
         />
       }
     >
-      {alertSettings.displayText}
+      <Typography variant="body1">{alertSettings.displayText}</Typography>
     </Alert>
   );
 };
diff --git a/src/redux/sagas/assistantSaga.jsx b/src/redux/sagas/assistantSaga.jsx
index e8270e4f0..121e50192 100644
--- a/src/redux/sagas/assistantSaga.jsx
+++ b/src/redux/sagas/assistantSaga.jsx
@@ -1,869 +1,871 @@
-import uniqWith from "lodash/uniqWith";
-import isEqual from "lodash/isEqual";
-
-import {
-  cleanAssistantState,
-  setAssistantLoading,
-  setDbkfImageMatchDetails,
-  setDbkfTextMatchDetails,
-  setDbkfVideoMatchDetails,
-  setErrorKey,
-  setImageVideoSelected,
-  setInputSourceCredDetails,
-  setInputUrl,
-  setNeDetails,
-  setProcessUrl,
-  setProcessUrlActions,
-  setScrapedData,
-  setSingleMediaPresent,
-  setUrlMode,
-} from "../actions/tools/assistantActions";
-
-import {
-  all,
-  call,
-  fork,
-  put,
-  select,
-  take,
-  takeLatest,
-} from "redux-saga/effects";
-import assistantApiCalls from "../../components/NavItems/Assistant/AssistantApiHandlers/useAssistantApi";
-import DBKFApi from "../../components/NavItems/Assistant/AssistantApiHandlers/useDBKFApi";
-import {
-  CONTENT_TYPE,
-  KNOWN_LINK_PATTERNS,
-  KNOWN_LINKS,
-  matchPattern,
-  NE_SUPPORTED_LANGS,
-  selectCorrectActions,
-  TYPE_PATTERNS,
-} from "../../components/NavItems/Assistant/AssistantRuleBook";
-
-/**
- * APIs
- **/
-const dbkfAPI = DBKFApi();
-const assistantApi = assistantApiCalls();
-
-/**
- * WATCHERS
- **/
-function* getUploadSaga() {
-  yield takeLatest("SUBMIT_UPLOAD", handleSubmitUpload);
-}
-
-function* getMediaListSaga() {
-  yield takeLatest("SET_SCRAPED_DATA", handleMediaLists);
-}
-
-function* getMediaActionSaga() {
-  yield takeLatest("SET_PROCESS_URL", handleMediaActionList);
-}
-
-function* getAssistantScrapeSaga() {
-  yield takeLatest("SUBMIT_INPUT_URL", handleAssistantScrapeCall);
-}
-
-function* getMediaSimilaritySaga() {
-  yield takeLatest(
-    ["SET_PROCESS_URL", "CLEAN_STATE"],
-    handleMediaSimilarityCall,
-  );
-}
-
-function* getDbkfTextMatchSaga() {
-  yield takeLatest(["SET_SCRAPED_DATA", "CLEAN_STATE"], handleDbkfTextCall);
-}
-
-function* getSourceCredSaga() {
-  yield takeLatest(
-    ["SET_INPUT_URL", "CLEAN_STATE"],
-    handleSourceCredibilityCall,
-  );
-}
-
-function* getNamedEntitySaga() {
-  yield takeLatest(["SET_SCRAPED_DATA", "CLEAN_STATE"], handleNamedEntityCall);
-}
-
-/**
- * NON-API HANDLERS
- **/
-function* handleMediaLists() {
-  const imageList = yield select((state) => state.assistant.imageList);
-  const videoList = yield select((state) => state.assistant.videoList);
-
-  if (imageList.length === 1 && videoList.length === 0) {
-    yield put(setProcessUrl(imageList[0], CONTENT_TYPE.IMAGE));
-    yield put(setSingleMediaPresent(true));
-  } else if (videoList.length === 1 && imageList.length === 0) {
-    yield put(setProcessUrl(videoList[0], CONTENT_TYPE.VIDEO));
-    yield put(setSingleMediaPresent(true));
-  }
-}
-
-function* handleMediaActionList() {
-  const inputUrl = yield select((state) => state.assistant.inputUrl);
-  const processUrl = yield select((state) => state.assistant.processUrl);
-  const contentType = yield select((state) => state.assistant.processUrlType);
-
-  if (processUrl !== null) {
-    let knownInputLink = yield call(
-      matchPattern,
-      inputUrl,
-      KNOWN_LINK_PATTERNS,
-    );
-    let knownProcessLink = yield call(
-      matchPattern,
-      processUrl,
-      KNOWN_LINK_PATTERNS,
-    );
-    let actions = yield call(
-      selectCorrectActions,
-      contentType,
-      knownInputLink,
-      knownProcessLink,
-      processUrl,
-    );
-
-    yield put(setProcessUrlActions(contentType, actions));
-  }
-}
-
-function* handleSubmitUpload(action) {
-  let contentType = action.payload.contentType;
-  let known_link = KNOWN_LINKS.OWN;
-  let actions = selectCorrectActions(contentType, known_link, known_link, "");
-  yield put(setProcessUrlActions(contentType, actions));
-  yield put(setImageVideoSelected(true));
-}
-
-/**
- * API HANDLERS
- **/
-function* handleMediaSimilarityCall(action) {
-  if (action.type === "CLEAN_STATE") return;
-
-  const inputUrlType = yield select((state) => state.assistant.inputUrlType);
-  const processUrl = yield select((state) => state.assistant.processUrl);
-  const contentType = yield select((state) => state.assistant.processUrlType);
-  const unprocessbleTypes = [
-    KNOWN_LINKS.YOUTUBE,
-    KNOWN_LINKS.VIMEO,
-    KNOWN_LINKS.LIVELEAK,
-    KNOWN_LINKS.DAILYMOTION,
-  ];
-
-  if (contentType === CONTENT_TYPE.IMAGE) {
-    yield call(
-      similaritySearch,
-      () => dbkfAPI.callImageSimilarityEndpoint(processUrl),
-      (result, loading, done, fail) =>
-        setDbkfImageMatchDetails(result, loading, done, fail),
-    );
-  } else if (
-    contentType === CONTENT_TYPE.VIDEO &&
-    !unprocessbleTypes.includes(inputUrlType)
-  ) {
-    yield call(
-      similaritySearch,
-      () => dbkfAPI.callVideoSimilarityEndpoint(processUrl),
-      (result, loading, done, fail) =>
-        setDbkfVideoMatchDetails(result, loading, done, fail),
-    );
-  }
-}
-
-function* similaritySearch(searchEndpoint, stateStorageFunction) {
-  yield put(stateStorageFunction(null, true, false, false));
-
-  try {
-    let result = yield call(searchEndpoint);
-    if (Object.keys(result).length) {
-      let similarityResult = result;
-      let resultList = [];
-      Object.keys(similarityResult).forEach((key) => {
-        result[key].appearancesResults.forEach((appearance) => {
-          resultList.push({
-            claimUrl: result[key].externalLink,
-            similarity: appearance.similarity,
-          });
-        });
-        result[key].evidencesResults.forEach((evidence) => {
-          resultList.push({
-            claimUrl: result[key].externalLink,
-            similarity: evidence.similarity,
-          });
-        });
-      });
-      resultList.sort((a, b) => b.similarity - a.similarity);
-      resultList = resultList.slice(0, 3);
-      yield put(stateStorageFunction(resultList, false, true, false));
-    } else {
-      yield put(stateStorageFunction(null, false, true, false));
-    }
-  } catch (error) {
-    console.log(error);
-    yield put(stateStorageFunction(null, false, false, true));
-  }
-}
-
-function* handleSourceCredibilityCall(action) {
-  if (action.type === "CLEAN_STATE") return;
-
-  try {
-    yield put(
-      setInputSourceCredDetails(
-        null,
-        null,
-        null,
-        null,
-        null,
-        null,
-        true,
-        false,
-        false,
-      ),
-    );
-
-    const inputUrl = yield select((state) => state.assistant.inputUrl);
-    yield take("SET_SCRAPED_DATA"); // wait until linkList has been created
-    const linkList = yield select((state) => state.assistant.linkList);
-    const inputUrlLinkList = [inputUrl].concat(linkList);
-
-    let result = [];
-    let links = [];
-    const batchSize = 20; // batches of links as UDA service has hard limit of 30 seconds
-    const parallelCalls = 2; // parallel calls to service, max two at a time
-    for (let i = 0; i < inputUrlLinkList.length; i += batchSize) {
-      const batchLinks = inputUrlLinkList.slice(i, i + batchSize);
-      const batchLinksString = batchLinks.join(" ");
-      links.push(batchLinksString);
-
-      if (links.length == parallelCalls) {
-        const [batchResult1, batchResult2] = yield all([
-          call(assistantApi.callSourceCredibilityService, [links[0]]),
-          call(assistantApi.callSourceCredibilityService, [links[1]]),
-        ]);
-        links = [];
-
-        if (batchResult1.entities.SourceCredibility) {
-          result = result.concat(batchResult1.entities.SourceCredibility);
-        }
-        if (batchResult2.entities.SourceCredibility) {
-          result = result.concat(batchResult2.entities.SourceCredibility);
-        }
-      }
-    }
-    if (links.length) {
-      const batchResult = yield call(
-        assistantApi.callSourceCredibilityService,
-        [links[0]],
-      );
-      if (batchResult.entities.SourceCredibility) {
-        result = result.concat(batchResult.entities.SourceCredibility);
-      }
-    }
-    if (!result.length) {
-      result = null;
-    }
-
-    const trafficLightColors = {
-      positive: "#008000", // green
-      mixed: "#FFA500", // orange
-      caution: "#FF0000", // red
-      unlabelled: "inherit",
-    };
-
-    const [
-      positiveResults,
-      mixedResults,
-      cautionResults,
-      filteredExtractedResults,
-    ] = filterSourceCredibilityResults(
-      result,
-      inputUrl,
-      linkList,
-      trafficLightColors,
-    );
-
-    const extractedLinks = sortSourceCredibilityLinks(
-      filteredExtractedResults,
-      trafficLightColors,
-    );
-
-    yield put(
-      setInputSourceCredDetails(
-        positiveResults,
-        cautionResults,
-        mixedResults,
-        filteredExtractedResults,
-        trafficLightColors,
-        extractedLinks,
-        false,
-        true,
-        false,
-      ),
-    );
-  } catch (error) {
-    console.log(error);
-    yield put(
-      setInputSourceCredDetails(
-        null,
-        null,
-        null,
-        null,
-        null,
-        null,
-        false,
-        false,
-        true,
-      ),
-    );
-  }
-}
-
-function* handleDbkfTextCall(action) {
-  if (action.type === "CLEAN_STATE") return;
-
-  try {
-    const text = yield select((state) => state.assistant.urlText);
-    if (text) {
-      let textToUse = text.length > 500 ? text.substring(0, 500) : text;
-      /*
-            let textRegex = /[\W]$/
-            //Infinite loop for some url exemple: https://twitter.com/TheArchitect009/status/1427280578496303107
-            while(textToUse.match(textRegex)){
-                if(textToUse.length === 1) break
-                textToUse = text.slice(0, -1)
-            }*/
-      let result = yield call(dbkfAPI.callTextSimilarityEndpoint, textToUse);
-      let filteredResult = filterDbkfTextResult(result);
-
-      yield put(setDbkfTextMatchDetails(filteredResult, false, true, false));
-    }
-  } catch (error) {
-    console.log(error);
-    yield put(setDbkfTextMatchDetails(null, false, false, true));
-  }
-}
-
-function* handleNamedEntityCall(action) {
-  if (action.type === "CLEAN_STATE") return;
-
-  try {
-    const text = yield select((state) => state.assistant.urlText);
-    const textLang = yield select((state) => state.assistant.textLang);
-    if (text !== null && NE_SUPPORTED_LANGS.includes(textLang)) {
-      yield put(setNeDetails(null, null, true, false, false));
-      const result = yield call(
-        assistantApi.callNamedEntityService,
-        text,
-        textLang,
-      );
-      let entities = [];
-
-      Object.entries(result.response.annotations).forEach((entity) => {
-        entity[1].forEach((instance) => {
-          entities.push({
-            word: instance.features.string,
-            category: entity[0],
-          });
-        });
-      });
-
-      if (entities.length === 0) {
-        yield put(setNeDetails(null, null, false, true, false));
-      } else {
-        let wordCloudList = buildWordCloudList(entities);
-        let categoryList = buildCategoryList(wordCloudList);
-        categoryList.map((v, k) => {
-          return categoryList[k].words.sort(function (a, b) {
-            return b.value - a.value;
-          });
-        });
-        yield put(
-          setNeDetails(categoryList, wordCloudList, false, true, false),
-        );
-      }
-    }
-  } catch (error) {
-    yield put(setNeDetails(null, null, false, false, true));
-  }
-}
-
-function* handleAssistantScrapeCall(action) {
-  let inputUrl = action.payload.inputUrl;
-
-  inputUrl = cleanInputUrl(inputUrl);
-
-  yield put(cleanAssistantState());
-  yield put(setUrlMode(true));
-  yield put(setAssistantLoading(true));
-
-  let urlType = matchPattern(inputUrl, KNOWN_LINK_PATTERNS);
-  let contentType = matchPattern(inputUrl, TYPE_PATTERNS);
-  let instagram_local = window.localStorage.getItem("instagram_result");
-
-  if (urlType === KNOWN_LINKS.INSTAGRAM && instagram_local) {
-    yield call(extractFromLocalStorage, instagram_local, inputUrl, urlType);
-    return;
-  }
-
-  // if urlType is TELEGRAM, check formatting
-  if (urlType === KNOWN_LINKS.TELEGRAM) {
-    inputUrl = formatTelegramLink(inputUrl);
-  }
-
-  try {
-    let scrapeResult = null;
-    if (decideWhetherToScrape(urlType, contentType, inputUrl)) {
-      scrapeResult = yield call(
-        assistantApi.callAssistantScraper,
-        urlType,
-        inputUrl,
-      );
-    }
-
-    let filteredSR = filterAssistantResults(
-      urlType,
-      contentType,
-      inputUrl,
-      scrapeResult,
-    );
-
-    yield put(setInputUrl(inputUrl, urlType));
-    yield put(
-      setScrapedData(
-        filteredSR.urlText,
-        filteredSR.textLang,
-        filteredSR.linkList,
-        filteredSR.imageList,
-        filteredSR.videoList,
-        filteredSR.urlTextHtmlMap,
-      ),
-    );
-    yield put(setAssistantLoading(false));
-  } catch (error) {
-    yield put(setAssistantLoading(false));
-
-    if (urlType === KNOWN_LINKS.INSTAGRAM && !instagram_local) {
-      yield put(setErrorKey("assistant_error_instagram"));
-    } else {
-      yield put(setErrorKey(error.message));
-    }
-  }
-}
-
-/**
- * Ensure input url is trimmed of whitespaces, returns ONLY the first link
- * if there's multiple links separated by whitespaces
- * @param inputUrl
- * @returns string
- */
-function cleanInputUrl(inputUrl) {
-  return inputUrl.trim().split(" ")[0];
-}
-
-function* extractFromLocalStorage(instagram_result, inputUrl, urlType) {
-  instagram_result = instagram_result.split(",plugin-split,");
-
-  let text_result = instagram_result[0];
-  let image_result = [instagram_result[1]];
-  let video_result = instagram_result[2];
-
-  if (text_result === "") {
-    text_result = null;
-  } else {
-    let regex_emoji = /\\u.{4}/g;
-    text_result = text_result.replaceAll(regex_emoji, "");
-    text_result = text_result.replaceAll("\\n", " ");
-
-    if (text_result.includes("on Instagram")) {
-      let text = text_result.split("on Instagram: ");
-      text_result = text.length > 1 ? text[1] : text_result;
-    }
-  }
-
-  if (video_result !== "") {
-    video_result.replace("\\u0026", "%");
-    video_result = [video_result];
-    image_result = [];
-  }
-
-  window.localStorage.removeItem("instagram_result");
-
-  yield put(setInputUrl(inputUrl, urlType));
-  yield put(setScrapedData(text_result, null, [], image_result, video_result));
-  yield put(setAssistantLoading(false));
-}
-
-/**
- * Replaces "t.me/" with "t.me/s/" in telegram links if required.
- * @param {String} url
- * @return {String} url
- */
-function formatTelegramLink(url) {
-  let urlType = matchPattern(url, KNOWN_LINK_PATTERNS);
-  if (urlType !== KNOWN_LINKS.TELEGRAM) {
-    throw new Error(
-      "formatTelegramLink: Expected telegram link but got " + urlType,
-    );
-  }
-
-  // this pattern only matches telegram links of the format t.me/{channel}/{id} and NOT t.me/s/{channel}/{id}
-  const nonSPattern = "^(?:https:/{2})?(?:www.)?t.me/(?!s/)\\w*/\\d*";
-
-  return url.match(nonSPattern) !== null
-    ? url.replace("t.me/", "t.me/s/")
-    : url;
-}
-
-/**
- * PREPROCESS FUNCTIONS
- **/
-const decideWhetherToScrape = (urlType, contentType) => {
-  switch (urlType) {
-    case KNOWN_LINKS.YOUTUBE:
-    case KNOWN_LINKS.LIVELEAK:
-    case KNOWN_LINKS.VIMEO:
-    case KNOWN_LINKS.DAILYMOTION:
-      return false;
-    case KNOWN_LINKS.TIKTOK:
-    case KNOWN_LINKS.INSTAGRAM:
-    case KNOWN_LINKS.FACEBOOK:
-    case KNOWN_LINKS.TWITTER:
-    case KNOWN_LINKS.TELEGRAM:
-    case KNOWN_LINKS.MASTODON:
-      return true;
-    case KNOWN_LINKS.MISC:
-      if (contentType === null) {
-        return true;
-      }
-      return false;
-    default:
-      throw new Error("please_give_a_correct_link");
-  }
-};
-
-/**
- * POSTPROCESS FUNCTIONS
- **/
-const buildWordCloudList = (entities) => {
-  return entities.reduce((accumulator, currentWord) => {
-    accumulator.filter((wordObj) => wordObj.value === currentWord["word"])
-      .length
-      ? (accumulator.filter(
-          (wordObj) => wordObj.value === currentWord["word"],
-        )[0].count += 1)
-      : accumulator.push({
-          value: currentWord["word"],
-          category: currentWord["category"],
-          count: 1,
-        });
-
-    return accumulator;
-  }, []);
-};
-
-const buildCategoryList = (wordCloudList) => {
-  // group by category
-  return wordCloudList.reduce((accumulator, currentWord) => {
-    accumulator.filter(
-      (wordObj) => wordObj.category === currentWord["category"],
-    ).length
-      ? accumulator
-          .filter((wordObj) => wordObj.category === currentWord["category"])[0]
-          .words.push(currentWord)
-      : accumulator.push({
-          category: currentWord["category"],
-          words: [currentWord],
-        });
-
-    return accumulator;
-  }, []);
-};
-
-const filterAssistantResults = (
-  urlType,
-  contentType,
-  userInput,
-  scrapeResult,
-) => {
-  let videoList = [];
-  let imageList = [];
-  let linkList = [];
-  let urlText = null;
-  let urlTextHtmlMap = null;
-  let textLang = null;
-
-  switch (urlType) {
-    case KNOWN_LINKS.YOUTUBE:
-    case KNOWN_LINKS.LIVELEAK:
-    case KNOWN_LINKS.VIMEO:
-    case KNOWN_LINKS.DAILYMOTION:
-      videoList = [userInput];
-      break;
-    case KNOWN_LINKS.TIKTOK:
-      videoList = scrapeResult.videos;
-      break;
-    case KNOWN_LINKS.INSTAGRAM:
-      if (scrapeResult.videos.length === 1) {
-        videoList = [scrapeResult.videos[0]];
-      } else {
-        imageList = [scrapeResult.images[0]];
-      }
-      break;
-    case KNOWN_LINKS.FACEBOOK:
-      if (scrapeResult.videos.length === 0) {
-        imageList = scrapeResult.images;
-        imageList = imageList.filter(
-          (imageUrl) =>
-            imageUrl.includes("//scontent") && !imageUrl.includes("/cp0/"),
-        );
-      } else {
-        videoList = scrapeResult.videos;
-      }
-      break;
-    case KNOWN_LINKS.TWITTER:
-      if (scrapeResult.images.length > 0) {
-        imageList = scrapeResult.images;
-      }
-      if (scrapeResult.videos.length > 0) {
-        videoList = scrapeResult.videos;
-      }
-      break;
-    case KNOWN_LINKS.TELEGRAM:
-      if (scrapeResult.images.length > 0) {
-        imageList = scrapeResult.images;
-      }
-      if (scrapeResult.videos.length > 0) {
-        videoList = scrapeResult.videos;
-      }
-      break;
-    case KNOWN_LINKS.MISC:
-      if (contentType) {
-        contentType === CONTENT_TYPE.IMAGE
-          ? (imageList = [userInput])
-          : (videoList = [userInput]);
-      } else {
-        imageList = scrapeResult.images;
-        // very specific. consider reworking to all svg images!
-        imageList = imageList.filter(
-          (imageUrl) => !imageUrl.includes("loader.svg"),
-        );
-        videoList = scrapeResult.videos;
-      }
-      break;
-    default:
-      break;
-  }
-
-  if (scrapeResult) {
-    urlText = scrapeResult.text;
-    textLang = scrapeResult.lang;
-    linkList = scrapeResult.links
-      .sort()
-      .filter((value, index, array) => array.indexOf(value) === index);
-    urlTextHtmlMap = scrapeResult.text_html_mapping;
-  }
-
-  return {
-    urlText: urlText,
-    textLang: textLang,
-    videoList: videoList,
-    imageList: imageList,
-    linkList: linkList,
-    urlTextHtmlMap: urlTextHtmlMap,
-  };
-};
-
-const filterSourceCredibilityResults = (
-  originalResult,
-  inputUrl,
-  linkList,
-  trafficLightColors,
-) => {
-  //if (!originalResult.entities.SourceCredibility) {
-  if (!originalResult) {
-    return [null, null, null, null];
-  }
-  //let sourceCredibility = originalResult.entities.SourceCredibility;
-  let sourceCredibility = originalResult;
-
-  sourceCredibility.forEach((dc) => {
-    delete dc["indices"];
-  });
-  sourceCredibility = uniqWith(sourceCredibility, isEqual);
-
-  let sourceCredibilityDict = {};
-
-  sourceCredibility.forEach((result) => {
-    const link = result["string"];
-
-    if (!(link in sourceCredibilityDict)) {
-      sourceCredibilityDict[link] = {
-        link: link,
-        resolvedLink: result["resolved-url"],
-        urlColor: trafficLightColors.unlabelled,
-        positive: [],
-        mixed: [],
-        caution: [],
-      };
-    }
-
-    if (result["source-type"] === "positive") {
-      addToRelevantSourceCred(sourceCredibilityDict[link].positive, result);
-    } else if (
-      result["source-type"] === "mixed" &&
-      result["source"] !== "GDI-MMR"
-    ) {
-      addToRelevantSourceCred(sourceCredibilityDict[link].mixed, result);
-    } else if (result["source-type"] === "caution") {
-      addToRelevantSourceCred(sourceCredibilityDict[link].caution, result);
-    }
-  });
-
-  // catching the missing links without source credibility results
-  for (let link of linkList) {
-    if (!sourceCredibilityDict[link]) {
-      sourceCredibilityDict[link] = {
-        link: link,
-        resolvedLink: link,
-        urlColor: trafficLightColors.unlabelled,
-        positive: [],
-        mixed: [],
-        caution: [],
-      };
-    }
-  }
-
-  const positiveResults = sourceCredibilityDict[inputUrl].positive.length
-    ? sourceCredibilityDict[inputUrl].positive
-    : null;
-  const mixedResults = sourceCredibilityDict[inputUrl].mixed.length
-    ? sourceCredibilityDict[inputUrl].mixed
-    : null;
-  const cautionResults = sourceCredibilityDict[inputUrl].caution.length
-    ? sourceCredibilityDict[inputUrl].caution
-    : null;
-  delete sourceCredibilityDict[inputUrl];
-
-  return [positiveResults, mixedResults, cautionResults, sourceCredibilityDict];
-};
-
-const sortSourceCredibilityLinks = (
-  sourceCredibilityDict,
-  trafficLightColors,
-) => {
-  if (!sourceCredibilityDict) {
-    return null;
-  }
-
-  let positiveLinks = [];
-  let mixedLinks = [];
-  let cautionLinks = [];
-  let unlabelledLinks = [];
-
-  for (let link in sourceCredibilityDict) {
-    let result = sourceCredibilityDict[link];
-
-    result.positive = result.positive.length ? result.positive : null;
-    result.mixed = result.mixed.length ? result.mixed : null;
-    result.caution = result.caution.length ? result.caution : null;
-
-    if (result.caution) {
-      result.urlColor = trafficLightColors.caution;
-      cautionLinks.push(link);
-    } else if (result.mixed) {
-      result.urlColor = trafficLightColors.mixed;
-      mixedLinks.push(link);
-    } else if (result.positive) {
-      result.urlColor = trafficLightColors.positive;
-      positiveLinks.push(link);
-    } else {
-      result.urlColor = trafficLightColors.unlabelled;
-      unlabelledLinks.push(link);
-    }
-  }
-
-  let extractedLinks = [];
-  extractedLinks = extractedLinks.concat(
-    cautionLinks,
-    mixedLinks,
-    positiveLinks,
-    unlabelledLinks,
-  );
-
-  return extractedLinks;
-};
-
-const addToRelevantSourceCred = (sourceCredList, result) => {
-  let resultEvidence = result["evidence"] ? result["evidence"] : [];
-  if (resultEvidence.length) {
-    resultEvidence = resultEvidence.toString();
-    resultEvidence = resultEvidence.split(",");
-  }
-
-  sourceCredList.push({
-    credibilityUrl: result["string"],
-    credibilitySource: result["source"],
-    credibilityLabels: result["labels"],
-    credibilityDescription: result["description"],
-    credibilityEvidence: resultEvidence,
-  });
-};
-
-const filterDbkfTextResult = (result) => {
-  let resultList = [];
-  let scores = [];
-
-  result.forEach((res) => {
-    scores.push(res.score);
-  });
-
-  let scaled = scaleNumbers(scores, 0, 100);
-
-  // to be reviewed. only really fixes some minor cases.
-  result.forEach((value, index) => {
-    if (value.score > 1000 && scaled[index] > 70) {
-      resultList.push({
-        text: value.text,
-        claimUrl: value.externalLink,
-        score: value.score,
-      });
-    }
-  });
-  return resultList.length ? resultList : null;
-};
-
-const scaleNumbers = (unscaledNums) => {
-  let scaled = [];
-  let maxRange = Math.max.apply(Math, unscaledNums);
-  let minRange = Math.min.apply(Math, unscaledNums);
-
-  for (let i = 0; i < unscaledNums.length; i++) {
-    let unscaled = unscaledNums[i];
-    let scaledNum = (100 * (unscaled - minRange)) / (maxRange - minRange);
-
-    scaled.push(scaledNum);
-  }
-  return scaled;
-};
-
-/**
- * EXPORT
- **/
-export default function* assistantSaga() {
-  yield all([
-    fork(getDbkfTextMatchSaga),
-    fork(getSourceCredSaga),
-    fork(getMediaActionSaga),
-    fork(getMediaSimilaritySaga),
-    fork(getMediaListSaga),
-    fork(getNamedEntitySaga),
-    fork(getAssistantScrapeSaga),
-    fork(getUploadSaga),
-  ]);
-}
+import uniqWith from "lodash/uniqWith";
+import isEqual from "lodash/isEqual";
+
+import {
+  cleanAssistantState,
+  setAssistantLoading,
+  setDbkfImageMatchDetails,
+  setDbkfTextMatchDetails,
+  setDbkfVideoMatchDetails,
+  setErrorKey,
+  setImageVideoSelected,
+  setInputSourceCredDetails,
+  setInputUrl,
+  setNeDetails,
+  setProcessUrl,
+  setProcessUrlActions,
+  setScrapedData,
+  setSingleMediaPresent,
+  setUrlMode,
+} from "../actions/tools/assistantActions";
+
+import {
+  all,
+  call,
+  fork,
+  put,
+  select,
+  take,
+  takeLatest,
+} from "redux-saga/effects";
+import assistantApiCalls from "../../components/NavItems/Assistant/AssistantApiHandlers/useAssistantApi";
+import DBKFApi from "../../components/NavItems/Assistant/AssistantApiHandlers/useDBKFApi";
+import {
+  CONTENT_TYPE,
+  KNOWN_LINK_PATTERNS,
+  KNOWN_LINKS,
+  matchPattern,
+  NE_SUPPORTED_LANGS,
+  selectCorrectActions,
+  TYPE_PATTERNS,
+} from "../../components/NavItems/Assistant/AssistantRuleBook";
+
+/**
+ * APIs
+ **/
+const dbkfAPI = DBKFApi();
+const assistantApi = assistantApiCalls();
+
+/**
+ * WATCHERS
+ **/
+function* getUploadSaga() {
+  yield takeLatest("SUBMIT_UPLOAD", handleSubmitUpload);
+}
+
+function* getMediaListSaga() {
+  yield takeLatest("SET_SCRAPED_DATA", handleMediaLists);
+}
+
+function* getMediaActionSaga() {
+  yield takeLatest("SET_PROCESS_URL", handleMediaActionList);
+}
+
+function* getAssistantScrapeSaga() {
+  yield takeLatest("SUBMIT_INPUT_URL", handleAssistantScrapeCall);
+}
+
+function* getMediaSimilaritySaga() {
+  yield takeLatest(
+    ["SET_PROCESS_URL", "CLEAN_STATE"],
+    handleMediaSimilarityCall,
+  );
+}
+
+function* getDbkfTextMatchSaga() {
+  yield takeLatest(["SET_SCRAPED_DATA", "CLEAN_STATE"], handleDbkfTextCall);
+}
+
+function* getSourceCredSaga() {
+  yield takeLatest(
+    ["SET_INPUT_URL", "CLEAN_STATE"],
+    handleSourceCredibilityCall,
+  );
+}
+
+function* getNamedEntitySaga() {
+  yield takeLatest(["SET_SCRAPED_DATA", "CLEAN_STATE"], handleNamedEntityCall);
+}
+
+/**
+ * NON-API HANDLERS
+ **/
+function* handleMediaLists() {
+  const imageList = yield select((state) => state.assistant.imageList);
+  const videoList = yield select((state) => state.assistant.videoList);
+
+  if (imageList.length === 1 && videoList.length === 0) {
+    yield put(setProcessUrl(imageList[0], CONTENT_TYPE.IMAGE));
+    yield put(setSingleMediaPresent(true));
+  } else if (videoList.length === 1 && imageList.length === 0) {
+    yield put(setProcessUrl(videoList[0], CONTENT_TYPE.VIDEO));
+    yield put(setSingleMediaPresent(true));
+  }
+}
+
+function* handleMediaActionList() {
+  const inputUrl = yield select((state) => state.assistant.inputUrl);
+  const processUrl = yield select((state) => state.assistant.processUrl);
+  const contentType = yield select((state) => state.assistant.processUrlType);
+
+  if (processUrl !== null) {
+    let knownInputLink = yield call(
+      matchPattern,
+      inputUrl,
+      KNOWN_LINK_PATTERNS,
+    );
+    let knownProcessLink = yield call(
+      matchPattern,
+      processUrl,
+      KNOWN_LINK_PATTERNS,
+    );
+    let actions = yield call(
+      selectCorrectActions,
+      contentType,
+      knownInputLink,
+      knownProcessLink,
+      processUrl,
+    );
+
+    yield put(setProcessUrlActions(contentType, actions));
+  }
+}
+
+function* handleSubmitUpload(action) {
+  let contentType = action.payload.contentType;
+  let known_link = KNOWN_LINKS.OWN;
+  let actions = selectCorrectActions(contentType, known_link, known_link, "");
+  yield put(setProcessUrlActions(contentType, actions));
+  yield put(setImageVideoSelected(true));
+}
+
+/**
+ * API HANDLERS
+ **/
+function* handleMediaSimilarityCall(action) {
+  if (action.type === "CLEAN_STATE") return;
+
+  const inputUrlType = yield select((state) => state.assistant.inputUrlType);
+  const processUrl = yield select((state) => state.assistant.processUrl);
+  const contentType = yield select((state) => state.assistant.processUrlType);
+  const unprocessbleTypes = [
+    KNOWN_LINKS.YOUTUBE,
+    KNOWN_LINKS.VIMEO,
+    KNOWN_LINKS.LIVELEAK,
+    KNOWN_LINKS.DAILYMOTION,
+  ];
+
+  if (contentType === CONTENT_TYPE.IMAGE) {
+    yield call(
+      similaritySearch,
+      () => dbkfAPI.callImageSimilarityEndpoint(processUrl),
+      (result, loading, done, fail) =>
+        setDbkfImageMatchDetails(result, loading, done, fail),
+    );
+  } else if (
+    contentType === CONTENT_TYPE.VIDEO &&
+    !unprocessbleTypes.includes(inputUrlType)
+  ) {
+    yield call(
+      similaritySearch,
+      () => dbkfAPI.callVideoSimilarityEndpoint(processUrl),
+      (result, loading, done, fail) =>
+        setDbkfVideoMatchDetails(result, loading, done, fail),
+    );
+  }
+}
+
+function* similaritySearch(searchEndpoint, stateStorageFunction) {
+  yield put(stateStorageFunction(null, true, false, false));
+
+  try {
+    let result = yield call(searchEndpoint);
+    if (Object.keys(result).length) {
+      let similarityResult = result;
+      let resultList = [];
+      Object.keys(similarityResult).forEach((key) => {
+        result[key].appearancesResults.forEach((appearance) => {
+          resultList.push({
+            claimUrl: result[key].externalLink,
+            similarity: appearance.similarity,
+          });
+        });
+        result[key].evidencesResults.forEach((evidence) => {
+          resultList.push({
+            claimUrl: result[key].externalLink,
+            similarity: evidence.similarity,
+          });
+        });
+      });
+      resultList.sort((a, b) => b.similarity - a.similarity);
+      resultList = resultList.slice(0, 3);
+      yield put(stateStorageFunction(resultList, false, true, false));
+    } else {
+      yield put(stateStorageFunction(null, false, true, false));
+    }
+  } catch (error) {
+    console.log(error);
+    yield put(stateStorageFunction(null, false, false, true));
+  }
+}
+
+function* handleSourceCredibilityCall(action) {
+  if (action.type === "CLEAN_STATE") return;
+
+  try {
+    yield put(
+      setInputSourceCredDetails(
+        null,
+        null,
+        null,
+        null,
+        null,
+        null,
+        true,
+        false,
+        false,
+      ),
+    );
+
+    const inputUrl = yield select((state) => state.assistant.inputUrl);
+    yield take("SET_SCRAPED_DATA"); // wait until linkList has been created
+    const linkList = yield select((state) => state.assistant.linkList);
+    const inputUrlLinkList = [inputUrl].concat(linkList);
+
+    let result = [];
+    let links = [];
+    const batchSize = 20; // batches of links as UDA service has hard limit of 30 seconds
+    const parallelCalls = 2; // parallel calls to service, max two at a time
+    for (let i = 0; i < inputUrlLinkList.length; i += batchSize) {
+      const batchLinks = inputUrlLinkList.slice(i, i + batchSize);
+      const batchLinksString = batchLinks.join(" ");
+      links.push(batchLinksString);
+
+      if (links.length == parallelCalls) {
+        const [batchResult1, batchResult2] = yield all([
+          call(assistantApi.callSourceCredibilityService, [links[0]]),
+          call(assistantApi.callSourceCredibilityService, [links[1]]),
+        ]);
+        links = [];
+
+        if (batchResult1.entities.SourceCredibility) {
+          result = result.concat(batchResult1.entities.SourceCredibility);
+        }
+        if (batchResult2.entities.SourceCredibility) {
+          result = result.concat(batchResult2.entities.SourceCredibility);
+        }
+      }
+    }
+    if (links.length) {
+      const batchResult = yield call(
+        assistantApi.callSourceCredibilityService,
+        [links[0]],
+      );
+      if (batchResult.entities.SourceCredibility) {
+        result = result.concat(batchResult.entities.SourceCredibility);
+      }
+    }
+    if (!result.length) {
+      result = null;
+    }
+
+    const trafficLightColors = {
+      positive: "#008000", // green
+      mixed: "#FFA500", // orange
+      caution: "#FF0000", // red
+      unlabelled: "inherit",
+    };
+
+    const [
+      positiveResults,
+      mixedResults,
+      cautionResults,
+      filteredExtractedResults,
+    ] = filterSourceCredibilityResults(
+      result,
+      inputUrl,
+      linkList,
+      trafficLightColors,
+    );
+
+    const extractedLinks = sortSourceCredibilityLinks(
+      filteredExtractedResults,
+      trafficLightColors,
+    );
+
+    yield put(
+      setInputSourceCredDetails(
+        positiveResults,
+        cautionResults,
+        mixedResults,
+        filteredExtractedResults,
+        trafficLightColors,
+        extractedLinks,
+        false,
+        true,
+        false,
+      ),
+    );
+  } catch (error) {
+    console.log(error);
+    yield put(
+      setInputSourceCredDetails(
+        null,
+        null,
+        null,
+        null,
+        null,
+        null,
+        false,
+        false,
+        true,
+      ),
+    );
+  }
+}
+
+function* handleDbkfTextCall(action) {
+  if (action.type === "CLEAN_STATE") return;
+
+  try {
+    const text = yield select((state) => state.assistant.urlText);
+    if (text) {
+      let textToUse = text.length > 500 ? text.substring(0, 500) : text;
+      /*
+            let textRegex = /[\W]$/
+            //Infinite loop for some url exemple: https://twitter.com/TheArchitect009/status/1427280578496303107
+            while(textToUse.match(textRegex)){
+                if(textToUse.length === 1) break
+                textToUse = text.slice(0, -1)
+            }*/
+      let result = yield call(dbkfAPI.callTextSimilarityEndpoint, textToUse);
+      let filteredResult = filterDbkfTextResult(result);
+
+      yield put(setDbkfTextMatchDetails(filteredResult, false, true, false));
+    }
+  } catch (error) {
+    console.log(error);
+    yield put(setDbkfTextMatchDetails(null, false, false, true));
+  }
+}
+
+function* handleNamedEntityCall(action) {
+  if (action.type === "CLEAN_STATE") return;
+
+  try {
+    const text = yield select((state) => state.assistant.urlText);
+    const textLang = yield select((state) => state.assistant.textLang);
+    if (text !== null && NE_SUPPORTED_LANGS.includes(textLang)) {
+      yield put(setNeDetails(null, null, true, false, false));
+      const result = yield call(
+        assistantApi.callNamedEntityService,
+        text,
+        textLang,
+      );
+      let entities = [];
+
+      Object.entries(result.response.annotations).forEach((entity) => {
+        entity[1].forEach((instance) => {
+          entities.push({
+            word: instance.features.string,
+            category: entity[0],
+          });
+        });
+      });
+
+      if (entities.length === 0) {
+        yield put(setNeDetails(null, null, false, true, false));
+      } else {
+        let wordCloudList = buildWordCloudList(entities);
+        let categoryList = buildCategoryList(wordCloudList);
+        categoryList.map((v, k) => {
+          return categoryList[k].words.sort(function (a, b) {
+            return b.value - a.value;
+          });
+        });
+        yield put(
+          setNeDetails(categoryList, wordCloudList, false, true, false),
+        );
+      }
+    }
+  } catch (error) {
+    yield put(setNeDetails(null, null, false, false, true));
+  }
+}
+
+function* handleAssistantScrapeCall(action) {
+  let inputUrl = action.payload.inputUrl;
+
+  inputUrl = cleanInputUrl(inputUrl);
+
+  yield put(cleanAssistantState());
+  yield put(setUrlMode(true));
+  yield put(setAssistantLoading(true));
+
+  let urlType = matchPattern(inputUrl, KNOWN_LINK_PATTERNS);
+  let contentType = matchPattern(inputUrl, TYPE_PATTERNS);
+  let instagram_local = window.localStorage.getItem("instagram_result");
+
+  if (urlType === KNOWN_LINKS.INSTAGRAM && instagram_local) {
+    yield call(extractFromLocalStorage, instagram_local, inputUrl, urlType);
+    return;
+  }
+
+  // if urlType is TELEGRAM, check formatting
+  if (urlType === KNOWN_LINKS.TELEGRAM) {
+    inputUrl = formatTelegramLink(inputUrl);
+  }
+
+  try {
+    let scrapeResult = null;
+    if (decideWhetherToScrape(urlType, contentType, inputUrl)) {
+      scrapeResult = yield call(
+        assistantApi.callAssistantScraper,
+        urlType,
+        inputUrl,
+      );
+    }
+
+    let filteredSR = filterAssistantResults(
+      urlType,
+      contentType,
+      inputUrl,
+      scrapeResult,
+    );
+
+    yield put(setInputUrl(inputUrl, urlType));
+    yield put(
+      setScrapedData(
+        filteredSR.urlText,
+        filteredSR.textLang,
+        filteredSR.linkList,
+        filteredSR.imageList,
+        filteredSR.videoList,
+        filteredSR.urlTextHtmlMap,
+      ),
+    );
+    yield put(setAssistantLoading(false));
+  } catch (error) {
+    yield put(setAssistantLoading(false));
+
+    if (urlType === KNOWN_LINKS.INSTAGRAM && !instagram_local) {
+      yield put(setErrorKey("assistant_error_instagram"));
+    } else {
+      yield put(setErrorKey(error.message));
+    }
+  }
+}
+
+/**
+ * Ensure input url is trimmed of whitespaces, returns ONLY the first link
+ * if there's multiple links separated by whitespaces
+ * @param inputUrl
+ * @returns string
+ */
+function cleanInputUrl(inputUrl) {
+  return inputUrl.trim().split(" ")[0];
+}
+
+function* extractFromLocalStorage(instagram_result, inputUrl, urlType) {
+  instagram_result = instagram_result.split(",plugin-split,");
+
+  let text_result = instagram_result[0];
+  let image_result = [instagram_result[1]];
+  let video_result = instagram_result[2];
+
+  if (text_result === "") {
+    text_result = null;
+  } else {
+    let regex_emoji = /\\u.{4}/g;
+    text_result = text_result.replaceAll(regex_emoji, "");
+    text_result = text_result.replaceAll("\\n", " ");
+
+    if (text_result.includes("on Instagram")) {
+      let text = text_result.split("on Instagram: ");
+      text_result = text.length > 1 ? text[1] : text_result;
+    }
+  }
+
+  if (video_result !== "") {
+    video_result.replace("\\u0026", "%");
+    video_result = [video_result];
+    image_result = [];
+  }
+
+  window.localStorage.removeItem("instagram_result");
+
+  yield put(setInputUrl(inputUrl, urlType));
+  yield put(setScrapedData(text_result, null, [], image_result, video_result));
+  yield put(setAssistantLoading(false));
+}
+
+/**
+ * Replaces "t.me/" with "t.me/s/" in telegram links if required.
+ * @param {String} url
+ * @return {String} url
+ */
+function formatTelegramLink(url) {
+  let urlType = matchPattern(url, KNOWN_LINK_PATTERNS);
+  if (urlType !== KNOWN_LINKS.TELEGRAM) {
+    throw new Error(
+      "formatTelegramLink: Expected telegram link but got " + urlType,
+    );
+  }
+
+  // this pattern only matches telegram links of the format t.me/{channel}/{id} and NOT t.me/s/{channel}/{id}
+  const nonSPattern = "^(?:https:/{2})?(?:www.)?t.me/(?!s/)\\w*/\\d*";
+
+  return url.match(nonSPattern) !== null
+    ? url.replace("t.me/", "t.me/s/")
+    : url;
+}
+
+/**
+ * PREPROCESS FUNCTIONS
+ **/
+const decideWhetherToScrape = (urlType, contentType) => {
+  switch (urlType) {
+    case KNOWN_LINKS.YOUTUBE:
+    case KNOWN_LINKS.YOUTUBESHORTS:
+    case KNOWN_LINKS.LIVELEAK:
+    case KNOWN_LINKS.VIMEO:
+    case KNOWN_LINKS.DAILYMOTION:
+      return false;
+    case KNOWN_LINKS.TIKTOK:
+    case KNOWN_LINKS.INSTAGRAM:
+    case KNOWN_LINKS.FACEBOOK:
+    case KNOWN_LINKS.TWITTER:
+    case KNOWN_LINKS.TELEGRAM:
+    case KNOWN_LINKS.MASTODON:
+    case KNOWN_LINKS.VK:
+      return true;
+    case KNOWN_LINKS.MISC:
+      if (contentType === null) {
+        return true;
+      }
+      return false;
+    default:
+      throw new Error("please_give_a_correct_link");
+  }
+};
+
+/**
+ * POSTPROCESS FUNCTIONS
+ **/
+const buildWordCloudList = (entities) => {
+  return entities.reduce((accumulator, currentWord) => {
+    accumulator.filter((wordObj) => wordObj.value === currentWord["word"])
+      .length
+      ? (accumulator.filter(
+          (wordObj) => wordObj.value === currentWord["word"],
+        )[0].count += 1)
+      : accumulator.push({
+          value: currentWord["word"],
+          category: currentWord["category"],
+          count: 1,
+        });
+
+    return accumulator;
+  }, []);
+};
+
+const buildCategoryList = (wordCloudList) => {
+  // group by category
+  return wordCloudList.reduce((accumulator, currentWord) => {
+    accumulator.filter(
+      (wordObj) => wordObj.category === currentWord["category"],
+    ).length
+      ? accumulator
+          .filter((wordObj) => wordObj.category === currentWord["category"])[0]
+          .words.push(currentWord)
+      : accumulator.push({
+          category: currentWord["category"],
+          words: [currentWord],
+        });
+
+    return accumulator;
+  }, []);
+};
+
+const filterAssistantResults = (
+  urlType,
+  contentType,
+  userInput,
+  scrapeResult,
+) => {
+  let videoList = [];
+  let imageList = [];
+  let linkList = [];
+  let urlText = null;
+  let urlTextHtmlMap = null;
+  let textLang = null;
+
+  switch (urlType) {
+    case KNOWN_LINKS.YOUTUBE:
+    case KNOWN_LINKS.YOUTUBESHORTS:
+    case KNOWN_LINKS.LIVELEAK:
+    case KNOWN_LINKS.VIMEO:
+    case KNOWN_LINKS.DAILYMOTION:
+      videoList = [userInput];
+      break;
+    case KNOWN_LINKS.TIKTOK:
+      videoList = scrapeResult.videos;
+      break;
+    case KNOWN_LINKS.INSTAGRAM:
+      if (scrapeResult.videos.length === 1) {
+        videoList = [scrapeResult.videos[0]];
+      } else {
+        imageList = [scrapeResult.images[0]];
+      }
+      break;
+    case KNOWN_LINKS.FACEBOOK:
+      if (scrapeResult.videos.length === 0) {
+        imageList = scrapeResult.images;
+        imageList = imageList.filter(
+          (imageUrl) =>
+            imageUrl.includes("//scontent") && !imageUrl.includes("/cp0/"),
+        );
+      } else {
+        videoList = scrapeResult.videos;
+      }
+      break;
+    case KNOWN_LINKS.TWITTER:
+      if (scrapeResult.images.length > 0) {
+        imageList = scrapeResult.images;
+      }
+      if (scrapeResult.videos.length > 0) {
+        videoList = scrapeResult.videos;
+      }
+      break;
+    case KNOWN_LINKS.TELEGRAM:
+    case KNOWN_LINKS.VK:
+      if (scrapeResult.images.length > 0) {
+        imageList = scrapeResult.images;
+      }
+      if (scrapeResult.videos.length > 0) {
+        videoList = scrapeResult.videos;
+      }
+      break;
+    case KNOWN_LINKS.MISC:
+      if (contentType) {
+        contentType === CONTENT_TYPE.IMAGE
+          ? (imageList = [userInput])
+          : (videoList = [userInput]);
+      } else {
+        imageList = scrapeResult.images;
+        // very specific. consider reworking to all svg images!
+        imageList = imageList.filter(
+          (imageUrl) => !imageUrl.includes("loader.svg"),
+        );
+        videoList = scrapeResult.videos;
+      }
+      break;
+    default:
+      break;
+  }
+
+  if (scrapeResult) {
+    urlText = scrapeResult.text;
+    textLang = scrapeResult.lang;
+    linkList = scrapeResult.links
+      .sort()
+      .filter((value, index, array) => array.indexOf(value) === index);
+    urlTextHtmlMap = scrapeResult.text_html_mapping;
+  }
+
+  return {
+    urlText: urlText,
+    textLang: textLang,
+    videoList: videoList,
+    imageList: imageList,
+    linkList: linkList,
+    urlTextHtmlMap: urlTextHtmlMap,
+  };
+};
+
+const filterSourceCredibilityResults = (
+  originalResult,
+  inputUrl,
+  linkList,
+  trafficLightColors,
+) => {
+  if (!originalResult.length) {
+    return [null, null, null, null];
+  }
+  let sourceCredibility = originalResult;
+
+  sourceCredibility.forEach((dc) => {
+    delete dc["indices"];
+  });
+  sourceCredibility = uniqWith(sourceCredibility, isEqual);
+
+  let sourceCredibilityDict = {};
+
+  sourceCredibility.forEach((result) => {
+    const link = result["string"];
+
+    if (!(link in sourceCredibilityDict)) {
+      sourceCredibilityDict[link] = {
+        link: link,
+        resolvedLink: result["resolved-url"],
+        urlColor: trafficLightColors.unlabelled,
+        positive: [],
+        mixed: [],
+        caution: [],
+      };
+    }
+
+    if (result["source-type"] === "positive") {
+      addToRelevantSourceCred(sourceCredibilityDict[link].positive, result);
+    } else if (
+      result["source-type"] === "mixed" &&
+      result["source"] !== "GDI-MMR"
+    ) {
+      addToRelevantSourceCred(sourceCredibilityDict[link].mixed, result);
+    } else if (result["source-type"] === "caution") {
+      addToRelevantSourceCred(sourceCredibilityDict[link].caution, result);
+    }
+  });
+
+  // catching the missing links without source credibility results
+  for (let link of linkList) {
+    if (!sourceCredibilityDict[link]) {
+      sourceCredibilityDict[link] = {
+        link: link,
+        resolvedLink: link,
+        urlColor: trafficLightColors.unlabelled,
+        positive: [],
+        mixed: [],
+        caution: [],
+      };
+    }
+  }
+
+  const positiveResults = sourceCredibilityDict[inputUrl].positive.length
+    ? sourceCredibilityDict[inputUrl].positive
+    : null;
+  const mixedResults = sourceCredibilityDict[inputUrl].mixed.length
+    ? sourceCredibilityDict[inputUrl].mixed
+    : null;
+  const cautionResults = sourceCredibilityDict[inputUrl].caution.length
+    ? sourceCredibilityDict[inputUrl].caution
+    : null;
+  delete sourceCredibilityDict[inputUrl];
+
+  return [positiveResults, mixedResults, cautionResults, sourceCredibilityDict];
+};
+
+const sortSourceCredibilityLinks = (
+  sourceCredibilityDict,
+  trafficLightColors,
+) => {
+  if (!sourceCredibilityDict) {
+    return null;
+  }
+
+  let positiveLinks = [];
+  let mixedLinks = [];
+  let cautionLinks = [];
+  let unlabelledLinks = [];
+
+  for (let link in sourceCredibilityDict) {
+    let result = sourceCredibilityDict[link];
+
+    result.positive = result.positive.length ? result.positive : null;
+    result.mixed = result.mixed.length ? result.mixed : null;
+    result.caution = result.caution.length ? result.caution : null;
+
+    if (result.caution) {
+      result.urlColor = trafficLightColors.caution;
+      cautionLinks.push(link);
+    } else if (result.mixed) {
+      result.urlColor = trafficLightColors.mixed;
+      mixedLinks.push(link);
+    } else if (result.positive) {
+      result.urlColor = trafficLightColors.positive;
+      positiveLinks.push(link);
+    } else {
+      result.urlColor = trafficLightColors.unlabelled;
+      unlabelledLinks.push(link);
+    }
+  }
+
+  let extractedLinks = [];
+  extractedLinks = extractedLinks.concat(
+    cautionLinks,
+    mixedLinks,
+    positiveLinks,
+    unlabelledLinks,
+  );
+
+  return extractedLinks;
+};
+
+const addToRelevantSourceCred = (sourceCredList, result) => {
+  let resultEvidence = result["evidence"] ? result["evidence"] : [];
+  if (resultEvidence.length) {
+    resultEvidence = resultEvidence.toString();
+    resultEvidence = resultEvidence.split(",");
+  }
+
+  sourceCredList.push({
+    credibilityUrl: result["string"],
+    credibilitySource: result["source"],
+    credibilityLabels: result["labels"],
+    credibilityDescription: result["description"],
+    credibilityEvidence: resultEvidence,
+  });
+};
+
+const filterDbkfTextResult = (result) => {
+  let resultList = [];
+  let scores = [];
+
+  result.forEach((res) => {
+    scores.push(res.score);
+  });
+
+  let scaled = scaleNumbers(scores, 0, 100);
+
+  // to be reviewed. only really fixes some minor cases.
+  result.forEach((value, index) => {
+    if (value.score > 1000 && scaled[index] > 70) {
+      resultList.push({
+        text: value.text,
+        claimUrl: value.externalLink,
+        score: value.score,
+      });
+    }
+  });
+  return resultList.length ? resultList : null;
+};
+
+const scaleNumbers = (unscaledNums) => {
+  let scaled = [];
+  let maxRange = Math.max.apply(Math, unscaledNums);
+  let minRange = Math.min.apply(Math, unscaledNums);
+
+  for (let i = 0; i < unscaledNums.length; i++) {
+    let unscaled = unscaledNums[i];
+    let scaledNum = (100 * (unscaled - minRange)) / (maxRange - minRange);
+
+    scaled.push(scaledNum);
+  }
+  return scaled;
+};
+
+/**
+ * EXPORT
+ **/
+export default function* assistantSaga() {
+  yield all([
+    fork(getDbkfTextMatchSaga),
+    fork(getSourceCredSaga),
+    fork(getMediaActionSaga),
+    fork(getMediaSimilaritySaga),
+    fork(getMediaListSaga),
+    fork(getNamedEntitySaga),
+    fork(getAssistantScrapeSaga),
+    fork(getUploadSaga),
+  ]);
+}