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Sid MohanSid Mohan
Sid Mohan
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unstructured + checks passing
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‎examples/uploading-file-types.ipynb

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"cell_type": "code",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting datafog==2.3.2b10\n",
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" Downloading datafog-2.3.2b10.tar.gz (13 kB)\n",
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" Installing build dependencies ... \u001b[?25ldone\n",
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"\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n",
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"\u001b[?25h Installing backend dependencies ... \u001b[?25ldone\n",
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"\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
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"\u001b[?25hRequirement already satisfied: pandas==2.2.1 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from datafog==2.3.2b10) (2.2.1)\n",
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"Requirement already satisfied: presidio-analyzer==2.2.353 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from datafog==2.3.2b10) (2.2.353)\n",
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"Requirement already satisfied: pytest==8.0.2 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from datafog==2.3.2b10) (8.0.2)\n",
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"Requirement already satisfied: Requests==2.31.0 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from datafog==2.3.2b10) (2.31.0)\n",
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"Requirement already satisfied: numpy<2,>=1.23.2 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from pandas==2.2.1->datafog==2.3.2b10) (1.26.4)\n",
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"Requirement already satisfied: regex in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from presidio-analyzer==2.2.353->datafog==2.3.2b10) (2023.12.25)\n",
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"Requirement already satisfied: pyyaml in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from presidio-analyzer==2.2.353->datafog==2.3.2b10) (6.0.1)\n",
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"Requirement already satisfied: phonenumbers<9.0.0,>=8.12 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from presidio-analyzer==2.2.353->datafog==2.3.2b10) (8.13.32)\n",
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"Requirement already satisfied: packaging in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from pytest==8.0.2->datafog==2.3.2b10) (24.0)\n",
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"Requirement already satisfied: click<9.0.0,>=7.1.1 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from typer<0.8.0,>=0.3.0->spacy==3.4.4->datafog==2.3.2b10) (8.1.7)\n",
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"Requirement already satisfied: MarkupSafe>=2.0 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from jinja2->spacy==3.4.4->datafog==2.3.2b10) (2.1.5)\n",
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"Requirement already satisfied: requests-file>=1.4 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from tldextract->presidio-analyzer==2.2.353->datafog==2.3.2b10) (2.0.0)\n",
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"Requirement already satisfied: filelock>=3.0.8 in /Users/sidmohan/Desktop/datafog-pypi-v2.3.2/.venv/lib/python3.11/site-packages (from tldextract->presidio-analyzer==2.2.353->datafog==2.3.2b10) (3.13.1)\n",
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"Building wheels for collected packages: datafog\n",
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" Building wheel for datafog (pyproject.toml) ... \u001b[?25ldone\n",
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"\u001b[?25h Created wheel for datafog: filename=datafog-2.3.2b10-py3-none-any.whl size=10839 sha256=98c6651a54b1e3b5d878d59fa534c7c8c22e1e6d4a49f04b43d4e447b9bd7e90\n",
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" Stored in directory: /Users/sidmohan/Library/Caches/pip/wheels/a2/87/a5/513ca3a2ad3d826f945f1277a85346ae1bfd4d6261bb202b2d\n",
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"Successfully built datafog\n",
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"Installing collected packages: datafog\n",
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" Attempting uninstall: datafog\n",
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" Found existing installation: datafog 2.3.2b9\n",
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" Uninstalling datafog-2.3.2b9:\n",
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" Successfully uninstalled datafog-2.3.2b9\n",
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"Successfully installed datafog-2.3.2b10\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"outputs": [],
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"# Initialize\n",
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"%pip install datafog==2.3.2b10\n",
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"%pip install datafog==2.4.0b1\n",
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"import json\n",
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"\n",
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"import requests\n",
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"import datafog\n",
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"from datafog import PresidioEngine as presidio\n",
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"import pandas as pd"
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"text": [
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" uuid \\\n",
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"0 a1b2c3d4-e5f6-7g8h-9i0j-k1l2m3n4o5p6 \n",
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"1 q9w8e7r6-t5y4-u3i2-o1p0-a9s8d7f6g5h4 \n",
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"2 z1x2c3v4-b5n6-m7q8-w9e0-r1t2y3u4i5o6 \n",
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"3 p1o2i3u4-y5t6-r7e8-w9q0-a1s2d3f4g5h6 \n",
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"4 l1k2j3h4-g5f6-d7s8-a9q0-w1e2r3t4y5u6 \n",
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"\n",
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" text_chunk \\\n",
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"0 Cisco to Acquire Splunk, to Help Make Organiza... \n",
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"1 Cisco intends to acquire Splunk for $157 per s... \n",
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"2 Our combined capabilities will drive the next ... \n",
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"3 Tidal Partners LLC is acting as financial advi... \n",
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"4 Cisco will host a conference call for Thursday... \n",
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"\n",
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" doc_source \n",
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"0 CEO_Google_Drive_Press_Release_Draft.docx \n",
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"1 CEO_Google_Drive_Press_Release_Draft.docx \n",
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"2 CEO_Google_Drive_Press_Release_Draft.docx \n",
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"3 CEO_Google_Drive_Press_Release_Draft.docx \n",
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"4 CEO_Google_Drive_Press_Release_Draft.docx \n"
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]
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],
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"outputs": [],
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"# Load the JSON data from the URL\n",
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"url = \"https://gist.githubusercontent.com/sidmohan0/757185e0b9ff63fe00096baa0ce3fa45/raw/cb30da88e985d171bef281c927434cac52c239ea/sample.json\"\n",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(df[\"scan_results\"])"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### PDF"
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]
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},
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"execution_count": null,
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"metadata": {},
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"source": [
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"%pip list\n"
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"text": [
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"0 [type: CUSTOM_PII, start: 0, end: 5, score: 1....\n",
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"1 [type: CUSTOM_PII, start: 0, end: 5, score: 1....\n",
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"2 [type: CUSTOM_PII, start: 41, end: 56, score: ...\n",
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"3 [type: CUSTOM_PII, start: 0, end: 18, score: 1...\n",
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"4 [type: CUSTOM_PII, start: 0, end: 5, score: 1....\n",
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"Name: scan_results, dtype: object\n"
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"{'agi-builder-meetup.pdf': \"2/26/24, 2:16 PM\\nAGI Builders Meetup SF · Luma\\nContact the HostReport Event29\\nEvent FullIf youʼd like, you can join the waitlist.Please click on the button below to join the waitlist.You will be notified if additional spots becomeavailable.\\nSubscribe\\nHosted ByEric LIU\\n5\\x0030pm - 6\\x0000pm: Doors open and check-in.\\nRegistration\\nFEBThursday, February 295\\x0030 PM - 8\\x0000 PM\\nOpen stage for AI builders, researchersand enthusiasts to share, inspire andtransform.\\nJoin Waitlist\\x00\\x00\\x00\\x00 PM PST\\nPresented byAGI Builders M…\\nAbout Event👋 We're thrilled to invite you to the first AGI Buildersmeetup on the leap day of 2024, February 29th.❤ It's a gathering where AI builders, researchers andenthusiasts share ideas, inspire peers and transform thefuture.💡 Participants can expect engaging tech talks coveringthe latest challenges and advancements in AI.🍕 Light refreshments will be available.Agenda:\\nAGI Builders Meetup SF\\nCloudflareSan Francisco, California\\nFeatured in Generative AI San Fra…\\nSign In\\nhttps://lu.ma/32549yyf\\n1/3\\n2/26/24, 2:16 PM\\nAGI Builders Meetup SF · Luma\\n7\\x0040pm - 8\\x0000pm: NetworkingAbout the hosts:Cloudflare helps organizations make employees,applications and networks faster & more secure.BentoML empowers developers to run any AI models inthe cloud and scale with confidence.Note:\\nThis event will be held in person, and due to limitedcapacity, registration is required for entry.Registration will close 2 days before the event.\\n7\\x0010pm - 7\\x0040pm: Enterprise Retrieval - AugmentedGeneration with LlamaIndex\\nWe host monthly meetups in San Francisco, havean idea you'd like to present at future events?Please apply here.\\nLocationCloudflare101 Townsend St, San Francisco, CA 94107, USA\\nby Chaoyu Yang, Founder & CEO, BentoML\\n6\\x0000pm - 6\\x0010pm: Opening\\nby Laurie Voss, VP Developer Relations,LlamaIndex\\n6\\x0040pm - 7\\x0010pm: RAG as a service with BentoML\\n6\\x0010pm - 6\\x0040pm: Phoney AI\\nby Craig Dennis, Developer Educator AI,Cloudflare\\nhttps://lu.ma/32549yyf\\n2/3\\n2/26/24, 2:16 PM\\nAGI Builders Meetup SF · Luma\\nWhat's NewExplorePricingHelp\\nMap data ©2024 Google\\nView larger map\\nhttps://lu.ma/32549yyf\\n3/3\\n\"}\n"
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"source": [
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"print(df[\"scan_results\"])"
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"input_file = \"/Users/sidmohan/Desktop/datafog-v2.4.0/datafog-python/tests/files/input_files/agi-builder-meetup.pdf\"\n",
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"output = datafog.DataFog.upload_file(uploaded_file_path=input_file)\n",
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"print(output)\n",
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"\n"
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"version": "3.10.1"
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‎requirements.txt

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yarl==1.8.1
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en_spacy_pii_fast
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unstructured[pdf]
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‎setup.py

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‎src/datafog/__init__.py

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# datafog-python/src/datafog/__init__.py
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import json
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import logging
4-
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import tempfile
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import pandas as pd
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import requests
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import spacy
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from unstructured.partition.auto import partition
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from io import BytesIO
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from pathlib import Path
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from .__about__ import __version__
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from .pii_tools import PresidioEngine
@@ -37,6 +40,7 @@ def __init__(self):
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"""
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self.nlp = spacy.load("en_spacy_pii_fast")
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@staticmethod
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def client():
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"""
@@ -46,7 +50,26 @@ def client():
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DataFog: A new instance of the DataFog client.
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"""
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return DataFog()
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@staticmethod
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def upload_file(uploaded_file_path):
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uploaded_file_path = Path(uploaded_file_path)
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bytes_data = uploaded_file_path.read_bytes()
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texts = {}
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if not uploaded_file_path.exists():
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return "File not found."
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else:
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temp_file = tempfile.NamedTemporaryFile(delete=True, suffix=uploaded_file_path.suffix)
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temp_file.write(bytes_data)
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elements = partition(temp_file.name)
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text = ""
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for element in elements:
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text += element.text + "\n"
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texts[uploaded_file_path.name] = text
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return texts
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def __call__(self, input_source, privacy_operation):
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"""
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Process the input data and apply the specified privacy operation.

‎tests/files/input_files/agi-builder-meetup.pdf

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