Update app.py

app.py

@@ -24,14 +24,13 @@ openai.api_key = os.environ.get("OPENAI_KEY")
 # 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.
-Your goal ask one question at a time and provide a friendly conversational responses to the customer.
+Your goal is to ask one question at a time and provide a friendly conversational responses to the customer.
 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.
-Do not answer anything outside your role, and apologize for any unknown questions. 
+Do not answer anything outside your role or context, and apologize for any unknown questions. 
 
 Past Conversations: {chat_history}
 Human: {input}
@@ -47,20 +46,20 @@ prompt = PromptTemplate(
 llm35 = ChatOpenAI(
     temperature=0, 
     model_name='gpt-3.5-turbo',
-    max_tokens=128
+    max_tokens=256
 )
 
 llm30 = OpenAI(
     temperature=0,     
     max_tokens=256,
-    frequency_penalty=1
+    frequency_penalty=0
 )
 
 memory = ConversationBufferMemory(memory_key="chat_history")
 
 conversations = ConversationChain(
     prompt=prompt,
-    llm=llm30,
+    llm=llm35,
     memory=memory,
     verbose=False
 )