camparchimedes commited on
Commit
d817107
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1 Parent(s): adafc06

Update app.py

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Files changed (1) hide show
  1. app.py +10 -13
app.py CHANGED
@@ -62,13 +62,13 @@ PERSONVERNSPOLICY_QUESTIONS = [
62
  "Endringer i denne policyen"
63
  ]
64
 
 
 
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  daysoff_assistant_template = """
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  You are a customer support assistant (’kundeservice AI assistent’) for Daysoff.no
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  By default, you respond in Norwegian language, using a warm, direct and professional tone.
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  You can look up booking information for a booking ID (bestillingskode)
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- and answer FAQ (spørsmål og svar vi ofte får fra ansatte og utleiere) about DaysOff firmahytteordning.
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- If you do not know the answer, just reply truthfully that you do not have the answer rather than
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- giving inaccurate or speculative information.
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  Chat History: {chat_history}
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  Question: {question}
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  Answer:
@@ -90,19 +90,17 @@ API URL:
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  api_url_prompt = PromptTemplate(input_variables=['api_docs', 'question'],
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  template=api_url_template)
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  api_response_template = """
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  With the API Documentation for Daysoff's official API: {api_docs} in mind,
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  and the specific user question: {question},
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  and given this API URL: {api_url} for querying,
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  here is the response from Daysoff's API: {api_response}.
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- If the response includes a booking ID (bestillingskode), consistently present this information
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- directly to the user without summarizing it.
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- For all other responses, please provide a clear and concise summary (in Norwegian) that directly addresses the user's question,
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  delivered in a manner that reflects the professionalism and warmth of a human customer service agent.
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-
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  Summary:
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  """
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-
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  api_response_prompt = PromptTemplate(
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  input_variables=['api_docs', 'question', 'api_url', 'api_response'],
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  template=api_response_template
@@ -113,12 +111,12 @@ def setup_multiple_chains():
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  llm = OpenAI(
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  model='gpt-3.5-turbo-instruct',
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- temperature=0.7,
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  openai_api_key=OPENAI_API_KEY,
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  #max_tokens=512,
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  top_p=0.9,
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- frequency_penalty=0.5,
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- presence_penalty=0.3
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  )
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  conversation_memory = ConversationBufferMemory(memory_key="chat_history",
@@ -171,8 +169,7 @@ async def handle_message(message: cl.Message):
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  callbacks=[cl.AsyncLangchainCallbackHandler()])
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  elif any(keyword in user_message for keyword in (FAQ_ANSATTE + FAQ_UTLEIERE + PERSONVERNSPOLICY_QUESTIONS)):
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-
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- #elif any(keyword in user_message for keyword in faq_keywords):
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  response = await api_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
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  else:
 
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  "Endringer i denne policyen"
63
  ]
64
 
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+ # If you do not know the answer, just reply truthfully that you do not have the answer rather than
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+ # giving inaccurate or speculative information.
67
  daysoff_assistant_template = """
68
  You are a customer support assistant (’kundeservice AI assistent’) for Daysoff.no
69
  By default, you respond in Norwegian language, using a warm, direct and professional tone.
70
  You can look up booking information for a booking ID (bestillingskode)
71
+ and answer FAQ related to DaysOff firmahytteordning.
 
 
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  Chat History: {chat_history}
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  Question: {question}
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  Answer:
 
90
  api_url_prompt = PromptTemplate(input_variables=['api_docs', 'question'],
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  template=api_url_template)
92
 
93
+ # If the response includes a booking ID (bestillingskode), consistently present this information
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+ # directly to the user without summarizing it.
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  api_response_template = """
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  With the API Documentation for Daysoff's official API: {api_docs} in mind,
97
  and the specific user question: {question},
98
  and given this API URL: {api_url} for querying,
99
  here is the response from Daysoff's API: {api_response}.
100
+ Please provide a clear and concise summary (in Norwegian) that directly addresses the user's question,
 
 
101
  delivered in a manner that reflects the professionalism and warmth of a human customer service agent.
 
102
  Summary:
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  """
 
104
  api_response_prompt = PromptTemplate(
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  input_variables=['api_docs', 'question', 'api_url', 'api_response'],
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  template=api_response_template
 
111
 
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  llm = OpenAI(
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  model='gpt-3.5-turbo-instruct',
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+ temperature=0.3,
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  openai_api_key=OPENAI_API_KEY,
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  #max_tokens=512,
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  top_p=0.9,
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+ frequency_penalty=0.1,
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+ presence_penalty=0.1
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  )
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  conversation_memory = ConversationBufferMemory(memory_key="chat_history",
 
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  callbacks=[cl.AsyncLangchainCallbackHandler()])
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  elif any(keyword in user_message for keyword in (FAQ_ANSATTE + FAQ_UTLEIERE + PERSONVERNSPOLICY_QUESTIONS)):
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+ #elif any(keyword in user_message for keyword in faq_keywords):
 
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  response = await api_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
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  else: