Update app.py

app.py

@@ -1,40 +1,138 @@
-from fastapi import FastAPI, HTTPException
-from fastapi.middleware.cors import CORSMiddleware
-import uvicorn
-#import nest_asyncio
-from pydantic import BaseModel, Field
-import json
-import pandas as pd
+
+from flask import Flask, request, render_template
+from twilio.twiml.voice_response import VoiceResponse, Gather
+import openai
+import csv
+import os
 from simple_salesforce import Salesforce
-from langchain.chains.question_answering import load_qa_chain
-from langchain.llms import OpenAI
-from langchain.prompts import PromptTemplate
-from langchain.memory import ConversationBufferMemory
+from langchain import OpenAI
 from langchain.chat_models import ChatOpenAI
-from langchain.chains import RetrievalQA
-from langchain.embeddings.openai import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
-from langchain.document_loaders import DataFrameLoader
-import os
+from langchain.chains import LLMChain, ConversationChain
+from langchain import PromptTemplate
+from langchain import HuggingFaceHub
+from langchain.chains.conversation.memory import (ConversationBufferMemory, 
+                                                  ConversationSummaryMemory, 
+                                                  ConversationBufferWindowMemory,
+                                                  ConversationKGMemory,ConversationSummaryBufferMemory)
+
+app = Flask(__name__)
+
+# Set up the LangChain
+
+template = """Answer the question based on the context below.
+
+Context: You are Lisa, a loyal helpful service agent, appointed for SuperFoods Petcare Company. 
+No introduction required.
+Your goal ask one by one questions and remember over the phone and provide a friendly conversational responses.
+For Product Complaint: Ask questions about product they purchased, when they bought it, what issue occurred, and query for any adverse reaction happened due to the product. 
+For Returns: Ask for the cause of return, if not asked aready, then tell him about the 10-day return policy, after which it's non-returnable. 
+For Refunds: Ask about the product amd the mode of refund hw wants, clarify the refunds will happen within 2-3 business days. 
+A case for will be created for all scenarios, and the caller will be notified over Email/WhatApp. Ask for image uploads for product investigations.
+Do not answer anything outside your role, and apologize for any unknown questions. 
+Once you collect all the information, summarize it at the end and repeat it back to the caller.
+
+{chat_history}
+Human: {input}
+AI: 
+
+"""
+
+prompt = PromptTemplate(
+    input_variables=["chat_history", "input"],
+    template=template
+)
 
+llm35 = ChatOpenAI(
+    temperature=0.2, 
+    openai_api_key='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',
+    model_name='gpt-3.5-turbo',
+    max_tokens=128
+)
 
-app = FastAPI()
+llm30 = OpenAI(
+    temperature=0.1, 
+    openai_api_key='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',
+    max_tokens=128
+)
 
-origins = ["*"]
+memory = ConversationBufferMemory(memory_key="chat_history")
 
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
+conversations = ConversationChain(
+    prompt=prompt,
+    llm=llm35,
+    memory=memory,
+    verbose=False
 )
-    
-@app.get('/')
+
+# Set up the Salesforce API
+sf = Salesforce(username='[email protected]', password='April-2023', security_token='1nic31g1YZ2V3dQRhCzXheAa',instance_url='https://marketing-comm.lightning.force.com')
+#print(sf.headers)
+print("Successfully Connected to Salesforce")
+
+# Define a function to handle incoming calls
+def handle_incoming_call():
+    response = VoiceResponse()
+    gather = Gather(input='speech', speechTimeout='auto', action='/process_input')
+    gather.say("Welcome to the SuperFood Voice Services !")
+    gather.pause(length=1)
+    gather.say("Hi, I am Lisa, from customer service")
+    gather.pause(length=0)
+    gather.say("May i know who i am talking to?")
+    response.append(gather)
+    return str(response)
+
+# Define a route to handle incoming calls
+@app.route("/incoming_call", methods=["POST"])
+def incoming_call():
+    return handle_incoming_call()
+
+# Define a route to handle user input
+@app.route('/process_input', methods=['POST'])
+def process_input():
+    user_input = request.form['SpeechResult']
+    print("User : " +user_input)
+    conversation_id = request.form['CallSid']
+    #print("Conversation Id: " + conversation_id)
+
+    if user_input.lower() in ['thank you', 'thanks.', 'bye.', 'goodbye.','no thanks.','no, thank you.','i m good.','no, i m good.','same to you.','no, thanks.','thank you.']:
+        response = VoiceResponse()
+        response.say("Thank you for using our service. Goodbye!")
+        
+        response.hangup()
+        print("Hanged-up")
+        
+        create_case(conversations.memory.buffer)
+        
+        print("Case created successfully !!")
+        
+    else:       
+        response = VoiceResponse()
+        ai_response=conversations.predict(input=user_input)
+        response.say(ai_response)
+        print("Agent: " + ai_response)
+        gather = Gather(input='speech', speechTimeout='auto', action='/process_input')
+        response.append(gather)
+   
+    return str(response)
+
+
+
+# Define a function to create a case record in Salesforce
+def create_case(conv_hist):
+        case_data = {
+            'Subject': 'Voice Bot Case',
+            #'Description': 'Conversation with voice bot',
+            'Status': 'New',
+            'Origin': 'Voice Bot',
+            'Description': conv_hist
+            #'Conversation_History__c': ''
+        }   
+        sf.Case.create(case_data)        
+        
+
+@app.route('/')
 def index():
-    return """FastAPI Server Running on HuggingFace Spaces. Docs available at: https://einsteincoder-fastapi-demo.hf.space/docs"""
+    return """Flask Server running with Twilio Voice & ChatGPT integrated with Salesforce for Case Creation. Call +1-320-313-9061 to talk to the AI Voice Bot."""
 
-#if __name__ == '__main__':
-    #nest_asyncio.apply()
-    #uvicorn.run("app:app",host='localhost', port=5000, reload=True)
-    #uvicorn.run(app,host='0.0.0.0', port=5000)
+if __name__ == '__main__':
+    app.run(debug=False,host='localhost',port=5050)