Update app.py

app.py

@@ -25,10 +25,9 @@ openai.api_key = os.environ.get("OPENAI_KEY")
 
 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.
+Context: You are Lisa, a loyal helpful service agent, appointed for SuperFoods Petcare Company.
 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 Product Complaint: Ask questions about the product they have purchased, when they bought it, what issue occured with it.
 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 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.
@@ -143,7 +142,7 @@ def get_case_summary(conv_detail):
     #case_desc = chatresponse_desc.choices[0].message.content
     chatresponse_desc = openai.Completion.create( 
     model = 'text-davinci-003',
-    prompt = 'Summarise the conversation between an agent and customer.Remember to keep the Product Name, Customer Tone and other key elements from the convsersation.Here is the conversation: ' + conv_detail,
+    prompt = 'You need to summarise the problem as told by the customer. Remember to keep the Product Name and other key points discussed from the conversation.Here is the conversation between service agent and the customer: ' + conv_detail,
     temperature = 0,
     top_p =1,
     best_of=1,
@@ -166,7 +165,7 @@ def get_case_subject(conv_detail):
     #case_subj = chatresponse_subj.choices[0].message.content
     chatresponse_subj = openai.Completion.create( 
     model = 'text-davinci-003',
-    prompt = 'Summarise the conversation between an agent and customer in 15 words mentioned below for Case Subject. Here is the conversation: ' + conv_detail,
+    prompt = 'Summarise the conversation between an agent and customer in 10 words mentioned below for Case Subject. Here is the conversation: ' + conv_detail,
     temperature = 0,
     top_p =1,
     best_of=1,