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{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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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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"bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n", |
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"\n", |
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"You said: i have a headache\n", |
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"\n", |
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"- what kind of headache do you have : 1. Migrane headache - intense throbbing pain on just one side of the head. 2. Cluster headaches - severe and recurrent headaches 3. Tension Headache - Ocassional;\n", |
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"bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n", |
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"\n", |
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"Your last instruction was unclear to me\n", |
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"bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n", |
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"\n", |
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"Your last instruction was unclear to me\n", |
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"bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n", |
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"\n" |
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] |
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} |
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], |
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"source": [ |
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"from flask import Flask, render_template, request\n", |
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"from chatterbot import ChatBot\n", |
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"from chatterbot.trainers import ChatterBotCorpusTrainer\n", |
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"import os\n", |
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"from gtts import gTTS\n", |
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"import speech_recognition as sr\n", |
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"import os\n", |
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"import re\n", |
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"import webbrowser\n", |
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"import smtplib\n", |
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"import requests\n", |
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"\n", |
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"\n", |
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"from chatterbot import ChatBot\n", |
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"from chatterbot.trainers import ListTrainer\n", |
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"\n", |
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"filenumber=int(os.listdir('saved_conversations')[-1])\n", |
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"filenumber=filenumber+1\n", |
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"file= open('saved_conversations/'+str(filenumber),\"w+\")\n", |
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"file.write('bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\\n')\n", |
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"file.close()\n", |
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"\n", |
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"\n", |
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"english_bot = ChatBot('Bot',\n", |
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" storage_adapter='chatterbot.storage.SQLStorageAdapter',\n", |
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" logic_adapters=[\n", |
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" {\n", |
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" 'import_path': 'chatterbot.logic.BestMatch'\n", |
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" },\n", |
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" \n", |
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"],\n", |
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"trainer='chatterbot.trainers.ListTrainer')\n", |
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"english_bot.set_trainer(ListTrainer)\n", |
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"\n", |
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"\n", |
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"def myCommand():\n", |
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" r = sr.Recognizer()\n", |
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"\n", |
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" with sr.Microphone() as source:\n", |
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" print('bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\\n')\n", |
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" r.pause_treshold = 1\n", |
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" r.adjust_for_ambient_noise(source, duration = 1)\n", |
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" audio = r.listen(source)\t\n", |
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"\n", |
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" try:\n", |
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" command = r.recognize_google(audio).lower()\n", |
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" print('You said: '+ command + '\\n')\n", |
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"\n", |
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" except sr.UnknownValueError:\n", |
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" print('Your last instruction was unclear to me')\n", |
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" command = myCommand();\n", |
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"\n", |
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" return command \n", |
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"\n", |
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"\n", |
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"def get_bot_response(command):\n", |
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" #userText = request.args.get('msg')\n", |
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" response = str(english_bot.get_response(command))\n", |
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"\n", |
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" appendfile=os.listdir('saved_conversations')[-1]\n", |
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" appendfile= open('saved_conversations/'+str(filenumber),\"a\")\n", |
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" appendfile.write('user : '+command+'\\n')\n", |
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" appendfile.write('bot : '+response+'\\n')\n", |
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" appendfile.close()\n", |
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" return response\n", |
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"\n", |
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"\n", |
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"while True:\n", |
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" value=get_bot_response(myCommand())\n", |
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" print(value)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": { |
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"collapsed": true |
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}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.7.6" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 2 |
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} |