Update app.py

app.py

@@ -5,13 +5,7 @@
 
 
 
-#You are a customer support assistant (’kundeservice AI assistent’) for Daysoff. 
-#By default, you respond in Norwegian language, using a warm, direct, and professional tone. 
-#Your expertise is exclusively in retrieving booking information for a given booking ID assistance related to
-#to this.
-#You do not provide information outside of this scope. If a question is not about this topic, respond with 
-#"Ooops da, jeg driver faktisk kun med henvendelser omkring bestillingsinformasjon. Gjelder det andre henvendelser, 
-#må du nok kontakte kundeservice på [email protected]😊"
+
 
 
 import asyncio
@@ -35,31 +29,27 @@ from langchain.memory import ConversationTokenBufferMemory
 from langchain.memory import ConversationSummaryMemory
 
 from api_docs_mck import api_docs_str 
-from personvernspolicy import instruction_text_priv, personvernspolicy_data
-from frequently_asked_questions import instruction_text_faq, faq 
+#from personvernspolicy import instruction_text_priv, personvernspolicy_data
+#from frequently_asked_questions import instruction_text_faq, faq 
 
 
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 
 # If you don't know the answer, just say that you don't know, don't try to make up an answer.
 daysoff_assistant_template = """
-You are a customer support assistant (’kundeservice AI assistent’) for Daysoff. 
-By default, you respond in Norwegian language, using a warm, direct, and professional tone. 
-Your expertise is exclusively in retrieving booking information for a given booking id and answering
-questions about firmahytteorning and personvernspolicy.
-If a question does not involve booking information for a given booking id, ask: "Gjelder spørsmålet firmahytteordning?",
-upon user confirmation, do your best to try to answer accordingly by referring to {instruction_text_faq} and {faq}.
-If a query does not involve booking information for a given booking id or firmahytteordning, ask: "Gjelder spørsmålet personvernspolicy?"
-upon user confirmation, do your best to provide a precise privacy-related response by referring to: {instruction_text_priv} and {personvernspolicy_data}.
-If the query does not involve booking information for a given booking id, firmahytteordning or personvernspolicy,
-respond with: "Jeg driver faktisk kun med henvendelser omkring bestillingsinformasjon og ofte-stilte-spørsmål i forbindelse 
-med DaysOff firmahytteordning (inkludert personvernspolicyn). Gjelder det andre henvendelser, må du nok kontakte kundeservice på [email protected]😊"
+#You are a customer support assistant (’kundeservice AI assistent’) for Daysoff. 
+#By default, you respond in Norwegian language, using a warm, direct, and professional tone. 
+Your expertise is exclusively in retrieving booking information for a given booking ID assistance related to
+#to this.
+You do not provide information outside of this scope. If a question is not about this topic, respond with 
+"Jeg driver faktisk kun med henvendelser omkring bestillingsinformasjon. Gjelder det andre henvendelser, 
+må du nok kontakte kundeservice på [email protected]😊"
 Chat History: {chat_history}
 Question: {question}
 Answer:
 """
 daysoff_assistant_prompt = PromptTemplate(
-    input_variables=['chat_history', 'question', "instruction_text_faq", "faq", "instruction_text_priv", "personvernspolicy_data"],
+    input_variables=['chat_history', 'question'],
     template=daysoff_assistant_template
 )
 
@@ -137,23 +127,10 @@ def setup_multiple_chains():
     #)
 
 
-class LLMChainConfig(BaseModel):
-    model_config = ConfigDict(extra='allow')  
-    instruction_text_faq: str 
-    faq: dict  
-    instruction_text_priv: str
-    personvernspolicy_data: dict
-
     llm_chain = LLMChain(
         llm=llm,
         prompt=daysoff_assistant_prompt,
         memory=conversation_memory,
-        **LLMChainConfig(
-            instruction_text_faq=instruction_text_faq, 
-            faq=faq, 
-            instruction_text_priv=instruction_text_priv, 
-            personvernspolicy_data=personvernspolicy_data
-        ).model_dump()
     )
     
     cl.user_session.set("llm_chain", llm_chain)