Setting up Environment and adding code

Author: sandipan898

prescription_generator/README.md

@@ -0,0 +1,30 @@
+# Automated Voice based Prescription Generator
+
+## Use Case:
+Generates Prescriptions in the form of PDF Files by recognizing the voice from doctors. This process will remove a lot of manual works and human errors as well as useful for the cases where doctor can't prescribe medicines physically.
+
+## Features:
+* Input information through voice.
+* Control instructions through voice inputs.
+* Generates simply formatted PDF as Output.
+* Auto Noice Adjustment.
+* Exceptions Handling.
+
+## Technologies used:
+* Python
+* Speech Recognition
+* Text to PDF Convertion
+
+## Steps to run locally:
+<br>
+
+1.      clone the repository
+2.      cd automated_voice_prescription_generator
+3.      pip install -r requirements.txt
+4.      python main.py
+5.      Terminate the code anytime by saying 'exit'
+## Errors:
+* Incase you face issues related to **PyAudio**, run the below commands:
+
+        pip install pipwin
+        pipwin install pyaudio

prescription_generator/helper/__init__.py

@@ -0,0 +1,2 @@
+# from .pdf_operations import save_pdf
+# from .speech import speech_rec_for_windows, speech_rec_for_linux

prescription_generator/helper/pdf_operations.py

@@ -0,0 +1,57 @@
+from fpdf import FPDF
+
+
+class PDF(FPDF):
+    def footer(self):
+        # Position at 1.5 cm from bottom
+        self.set_y(-15)
+        # Arial italic 8
+        self.set_font('Arial', 'I', 8)
+        # Text color in gray
+        self.set_text_color(128)
+        # Page number
+        self.cell(0, 10, 'Page ' + str(self.page_no()), 0, 0, 'C')
+
+
+def save_pdf(medicines):
+    pdf = PDF()
+
+    # Add a page
+    pdf.add_page()
+
+    # setting style and size of font for the pdf
+    pdf.set_font("Arial", size=12)
+    pdf.cell(
+        200, 10,
+        txt="Generated Prscription",
+        ln=1, align='C'
+    )
+
+    for medic in medicines:
+        if ('Medicine Name' in medicines[medic]):
+            # create a cell
+            pdf.cell(
+                200, 10,
+                ln=1, align='C',
+                txt=medic
+            )
+            pdf.cell(
+                200, 10,
+                ln=2,
+                txt="Medicine Name: " + medicines[medic]["Medicine Name"],
+            )
+            if "Instruction" in medicines[medic]:
+                pdf.cell(
+                    200, 10,
+                    ln=2,
+                    txt="Instructions: " + medicines[medic]["Instruction"]
+                )
+            else:
+                pdf.cell(
+                    200, 10,
+                    ln=2,
+                    txt="Instructions*: No Instructions given"
+                )
+
+    # save the pdf with name .pdf
+    pdf.output("Prescription.pdf")

prescription_generator/helper/speech.py

@@ -0,0 +1,139 @@
+import speech_recognition as sr
+
+
+def speech_rec_for_linux():
+    import espeak
+    espeak.init()
+    speaker = espeak.Espeak()
+    # import pyttsx3
+    # speaker = pyttsx3.init()
+
+    r = sr.Recognizer()
+    text = ""
+    count = 0
+    medicines = {}
+
+    with sr.Microphone() as source:
+        while(True):
+            medicine_dict = {}
+            count += 1
+
+            print("Medicine-" + str(count) + " Information")
+
+            print("Adjusting noise ")
+            r.adjust_for_ambient_noise(source, duration=1)
+
+            print("Medicine Name:")
+            speaker.say("Medicine name")
+            # speaker.rate = 300
+
+            recorded_audio = r.listen(source, timeout=6)
+            print("Done")
+
+            try:
+                text = r.recognize_google(
+                    recorded_audio,
+                    language="en-US"
+                )
+                if 'exit' in str(text).lower():
+                    print("Thanks for using our service!")
+                    break
+
+                medicine_dict["Medicine Name"] = str(text)
+                print("Decoded Text : {}".format(text))
+
+            except Exception as e:
+                print(e)
+
+            print("Adjusting noise ")
+            r.adjust_for_ambient_noise(source, duration=1)
+
+            print("Medicine Instruction:")
+            speaker.say("Medicine Instruction")
+
+            recorded_audio = r.listen(source, timeout=6)
+            print("Done")
+
+            try:
+                text = r.recognize_google(
+                    recorded_audio,
+                    language="en-US"
+                )
+                medicine_dict["Instruction"] = str(text)
+                print("Decoded Text : {}".format(text))
+
+            except Exception as e:
+                print(e)
+
+            medicines["Medicine No. " + str(count)] = medicine_dict
+
+    return medicines
+
+
+def speech_rec_for_windows():
+    import pyttsx3
+    speaker = pyttsx3.init()
+    # from win32com.client import Dispatch
+    # speak = Dispatch("SAPI.SpVoice").Speak
+
+    r = sr.Recognizer()
+    text = ""
+    count = 0
+    medicines = {}
+
+    with sr.Microphone() as source:
+        while(True):
+            medicine_dict = {}
+            count += 1
+
+            print("Medicine-" + str(count) + " Information")
+
+            print("Adjusting noise ")
+            r.adjust_for_ambient_noise(source, duration=1)
+
+            print("Medicine Name:")
+            speaker.say("Medicine name")
+            speaker.runAndWait()
+
+            recorded_audio = r.listen(source, timeout=6)
+            print("Done")
+
+            try:
+                text = r.recognize_google(
+                    recorded_audio,
+                    language="en-US"
+                )
+                if 'exit' in str(text).lower():
+                    print("Thanks for using our service!")
+                    break
+
+                medicine_dict["Medicine Name"] = str(text)
+                print("Decoded Text : {}".format(text))
+
+            except Exception as e:
+                print("Exception", e)
+
+            print("Adjusting noise ")
+            r.adjust_for_ambient_noise(source, duration=1)
+
+            print("Medicine Instruction:")
+            speaker.say("Medicine Instruction")
+            speaker.runAndWait()
+
+            recorded_audio = r.listen(source, timeout=6)
+            print("Done")
+
+            try:
+                text = r.recognize_google(
+                    recorded_audio,
+                    language="en-US"
+                )
+                medicine_dict["Instruction"] = str(text)
+                print("Decoded Text : {}".format(text))
+
+            except Exception as e:
+                print("Exception", e)
+
+            medicines["Medicine No. " + str(count)] = medicine_dict
+
+    return medicines

prescription_generator/main.py

@@ -0,0 +1,18 @@
+import sys
+from helper.pdf_operations import save_pdf
+from helper.speech import speech_rec_for_windows, speech_rec_for_linux
+
+
+def start_app():
+    if sys.platform.startswith('linux'):
+        medicines = speech_rec_for_linux()
+
+    elif sys.platform.startswith('win32'):
+        medicines = speech_rec_for_windows()
+
+    print(medicines)
+    save_pdf(medicines)
+
+
+if __name__ == '__main__':
+    start_app()

prescription_generator/requirements.txt

@@ -0,0 +1,23 @@
+beautifulsoup4==4.9.3
+certifi==2020.12.5
+chardet==4.0.0
+docopt==0.6.2
+fpdf==1.7.2
+idna==2.10
+Js2Py==0.71
+packaging==20.9
+pipwin==0.5.1
+PyAudio==0.2.11
+pydub==0.25.1
+pyjsparser==2.7.1
+pyparsing==2.4.7
+PyPrind==2.11.2
+pySmartDL==1.3.4
+python-espeak==0.6.3
+pytz==2021.1
+requests==2.25.1
+six==1.15.0
+soupsieve==2.2.1
+SpeechRecognition==3.8.1
+tzlocal==2.1
+urllib3==1.26.4