--- a
+++ b/.ipynb_checkpoints/run-checkpoint.ipynb
@@ -0,0 +1,132 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
+      "\n",
+      "You said: i have a headache\n",
+      "\n",
+      "- 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",
+      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
+      "\n",
+      "Your last instruction was unclear to me\n",
+      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
+      "\n",
+      "Your last instruction was unclear to me\n",
+      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from flask import Flask, render_template, request\n",
+    "from chatterbot import ChatBot\n",
+    "from chatterbot.trainers import ChatterBotCorpusTrainer\n",
+    "import os\n",
+    "from gtts import gTTS\n",
+    "import speech_recognition as sr\n",
+    "import os\n",
+    "import re\n",
+    "import webbrowser\n",
+    "import smtplib\n",
+    "import requests\n",
+    "\n",
+    "\n",
+    "from chatterbot import ChatBot\n",
+    "from chatterbot.trainers import ListTrainer\n",
+    "\n",
+    "filenumber=int(os.listdir('saved_conversations')[-1])\n",
+    "filenumber=filenumber+1\n",
+    "file= open('saved_conversations/'+str(filenumber),\"w+\")\n",
+    "file.write('bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\\n')\n",
+    "file.close()\n",
+    "\n",
+    "\n",
+    "english_bot = ChatBot('Bot',\n",
+    "             storage_adapter='chatterbot.storage.SQLStorageAdapter',\n",
+    "             logic_adapters=[\n",
+    "   {\n",
+    "       'import_path': 'chatterbot.logic.BestMatch'\n",
+    "   },\n",
+    "   \n",
+    "],\n",
+    "trainer='chatterbot.trainers.ListTrainer')\n",
+    "english_bot.set_trainer(ListTrainer)\n",
+    "\n",
+    "\n",
+    "def myCommand():\n",
+    "    r = sr.Recognizer()\n",
+    "\n",
+    "    with sr.Microphone() as source:\n",
+    "         print('bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\\n')\n",
+    "         r.pause_treshold = 1\n",
+    "         r.adjust_for_ambient_noise(source, duration = 1)\n",
+    "         audio = r.listen(source)\t\n",
+    "\n",
+    "    try:\n",
+    "        command = r.recognize_google(audio).lower()\n",
+    "        print('You said: '+ command + '\\n')\n",
+    "\n",
+    "    except sr.UnknownValueError:\n",
+    "           print('Your last instruction was unclear to me')\n",
+    "           command = myCommand();\n",
+    "\n",
+    "    return command \n",
+    "\n",
+    "\n",
+    "def get_bot_response(command):\n",
+    "    #userText = request.args.get('msg')\n",
+    "    response = str(english_bot.get_response(command))\n",
+    "\n",
+    "    appendfile=os.listdir('saved_conversations')[-1]\n",
+    "    appendfile= open('saved_conversations/'+str(filenumber),\"a\")\n",
+    "    appendfile.write('user : '+command+'\\n')\n",
+    "    appendfile.write('bot : '+response+'\\n')\n",
+    "    appendfile.close()\n",
+    "    return response\n",
+    "\n",
+    "\n",
+    "while True:\n",
+    "    value=get_bot_response(myCommand())\n",
+    "    print(value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}