Update app.py

app.py

@@ -18,6 +18,7 @@ from langchain.chains.conversation.memory import (ConversationBufferMemory,
 app = Flask(__name__)
 
 os.environ['OPENAI_API_KEY'] = os.environ.get("OPENAI_KEY")
+openai.api_key = os.environ.get("OPENAI_KEY")
 
 # Set up the LangChain
 
@@ -25,10 +26,10 @@ 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 question at a time and remember them and provide a friendly conversational responses to the customer.
+Your goal ask one question at a time 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 and the mode of refund he wants, clarify the refunds will happen within 2-3 business days. 
+For Refunds: Ask about the product issues and the mode of refund he wants, clarify him 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 or WhatsApp.
 Do not answer anything outside your role, and apologize for any unknown questions. 
 
@@ -108,7 +109,7 @@ def process_input():
         response.hangup()
         print("Hanged-up")
         
-        create_case(conversations.memory.buffer)
+        create_case(conversations.memory.buffer,conversation_id)
         
         print("Case created successfully !!")
         
@@ -123,7 +124,7 @@ def process_input():
     return str(response)
 
 # For Case Summary and Subject
-openai.api_key = os.environ.get("OPENAI_KEY")
+
 
 def get_case_summary(conv_detail):
     chatresponse_desc = openai.ChatCompletion.create(
@@ -142,7 +143,7 @@ def get_case_subject(conv_detail):
     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": "You need to summarise the conversation between an agent and customer in 15 words mentioned below for case subject."},
         {"role": "user", "content": conv_detail}
     ]
     )
@@ -150,7 +151,7 @@ def get_case_subject(conv_detail):
     return case_subj
 
 # Define a function to create a case record in Salesforce
-def create_case(conv_hist):
+def create_case(conv_hist,conv_id):
     desc = get_case_summary(conv_hist)
     subj = get_case_subject(conv_hist)
     case_data = {
@@ -159,7 +160,7 @@ def create_case(conv_hist):
             'Status': 'New',
             'Origin': 'Voice Bot',
             'Voice_Call_Conversation__c': conv_hist ,
-            'Voice_Call_Id__c': conversation_id,
+            'Voice_Call_Id__c': conv_id,
             'ContactId': '003B000000NLHQ1IAP'
         }   
     sf.Case.create(case_data)