Update app.py

app.py

@@ -62,13 +62,13 @@ PERSONVERNSPOLICY_QUESTIONS = [
     "Endringer i denne policyen"
 ]
 
+# If you do not know the answer, just reply truthfully that you do not have the answer rather than
+# giving inaccurate or speculative information.
 daysoff_assistant_template = """
 You are a customer support assistant (’kundeservice AI assistent’) for Daysoff.no
 By default, you respond in Norwegian language, using a warm, direct and professional tone. 
 You can look up booking information for a booking ID (bestillingskode)
-and answer FAQ (spørsmål og svar vi ofte får fra ansatte og utleiere) about DaysOff firmahytteordning.
-If you do not know the answer, just reply truthfully that you do not have the answer rather than
-giving inaccurate or speculative information.
+and answer FAQ related to DaysOff firmahytteordning.
 Chat History: {chat_history}
 Question: {question}
 Answer:
@@ -90,19 +90,17 @@ API URL:
 api_url_prompt = PromptTemplate(input_variables=['api_docs', 'question'],
                                 template=api_url_template)
 
+# If the response includes a booking ID (bestillingskode), consistently present this information 
+# directly to the user without summarizing it.    
 api_response_template = """
 With the API Documentation for Daysoff's official API: {api_docs} in mind,
 and the specific user question: {question},
 and given this API URL: {api_url} for querying,
 here is the response from Daysoff's API: {api_response}.
-If the response includes a booking ID (bestillingskode), consistently present this information 
-directly to the user without summarizing it.
-For all other responses, please provide a clear and concise summary (in Norwegian) that directly addresses the user's question,
+Please provide a clear and concise summary (in Norwegian) that directly addresses the user's question,
 delivered in a manner that reflects the professionalism and warmth of a human customer service agent.
-
 Summary:
 """
-
 api_response_prompt = PromptTemplate(
     input_variables=['api_docs', 'question', 'api_url', 'api_response'],
     template=api_response_template
@@ -113,12 +111,12 @@ def setup_multiple_chains():
 
     llm = OpenAI(
         model='gpt-3.5-turbo-instruct',
-        temperature=0.7, 
+        temperature=0.3, 
         openai_api_key=OPENAI_API_KEY,
         #max_tokens=512, 
         top_p=0.9,  
-        frequency_penalty=0.5,
-        presence_penalty=0.3   
+        frequency_penalty=0.1,
+        presence_penalty=0.1   
     )
     
     conversation_memory = ConversationBufferMemory(memory_key="chat_history",
@@ -171,8 +169,7 @@ async def handle_message(message: cl.Message):
             callbacks=[cl.AsyncLangchainCallbackHandler()])
 
     elif any(keyword in user_message for keyword in (FAQ_ANSATTE + FAQ_UTLEIERE + PERSONVERNSPOLICY_QUESTIONS)):
-
-    #elif any(keyword in user_message for keyword in faq_keywords): 
+        #elif any(keyword in user_message for keyword in faq_keywords): 
         response = await api_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
 
     else: