Update app.py

app.py

@@ -23,15 +23,14 @@ 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. 
+Your goal ask one question at a time and remember them and provide a friendly conversational responses to the customer.
+For Product Complaint: Ask questions about product they purchased, when they bought it, what issue occured with it. Query for any adverse reaction happened to his pet 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}
+Past Conversations: {chat_history}
 Human: {input}
 AI: 
 
@@ -90,11 +89,11 @@ def incoming_call():
 @app.route('/process_input', methods=['POST'])
 def process_input():
     user_input = request.form['SpeechResult']
-    print("User : " +user_input)
+    print("Rob : " +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.']:
+    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!")
         
@@ -109,23 +108,50 @@ def process_input():
         response = VoiceResponse()
         ai_response=conversations.predict(input=user_input)
         response.say(ai_response)
-        print("Agent: " + ai_response)
+        print("Bot: " + ai_response)
         gather = Gather(input='speech', speechTimeout='auto', action='/process_input')
         response.append(gather)
    
     return str(response)
 
-
+# For Case Summary and Subject
+openai.api_key = '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'
+
+def get_case_summary(conv_detail):
+    chatresponse_desc = openai.ChatCompletion.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {"role": "system", "content": "You are an Text Summarizer."},
+        {"role": "user", "content": "You need to summarise the conversation between an agent and customer mentioned below. Remember to keep the Product Name, Customer Tone and other key elements from the convsersation"},
+        {"role": "user", "content": conv_detail}
+    ]
+    )
+    case_desc = chatresponse_desc.choices[0].message.content
+    return case_desc
+
+def get_case_subject(conv_detail):     
+    chatresponse_subj = openai.ChatCompletion.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {"role": "system", "content": "You are an Text Summarizer."},
+        {"role": "user", "content": "You need to summarise the conversation between an agent and customer in 10 words mentioned below for case subject."},
+        {"role": "user", "content": conv_detail}
+    ]
+    )
+    case_subj = chatresponse_subj.choices[0].message.content
+    return case_subj
 
 # 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',
+    desc = get_case_summary(conv_hist)
+    subj = get_case_subject(conv_hist)
+    case_data = {
+            'Subject': 'Voice Bot Case for Rob :' + subj ,
+            'Description': desc,
             'Status': 'New',
             'Origin': 'Voice Bot',
-            'Description': conv_hist
-            #'Conversation_History__c': ''
+            'Voice_Call_Conversation__c': conv_hist ,
+            'Voice_Call_Id__c': conversation_id
         }   
         sf.Case.create(case_data)