Update app.py

app.py

@@ -18,7 +18,7 @@ from langchain_core.prompts import PromptTemplate
 from langchain.memory.buffer import ConversationBufferMemory
 
 from api_docs_mck import api_docs_str 
-from faq_data import help, ansatte_faq_data, utleiere_faq_data
+from faq_data import help1, ansatte_faq_data, utleiere_faq_data
 from personvernspolicy import help2, personvernspolicy_data
 
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
@@ -26,7 +26,7 @@ OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 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 provide information associated with a given booking ID, and with {help} in mind, you
+You can provide information associated with a given booking ID, and with {help1} in mind, you
 can also answer frequently asked questions (FAQ) about DaysOff firmahytteordning for 
 employees: {ansatte_faq_data} and for employers:{utleiere_faq_data}.
 To understand how best to answer queries about privacy policy, 
@@ -128,15 +128,18 @@ async def handle_message(message: cl.Message):
         
     else:
 
-        help = help #()
+        help1 = help1 #()
         help2 = help2 #()()
+        ansatte_faq_data = ansatte_faq_data
+        utleiere_faq_data = utleiere_faq_data
+        personvernspolicy_data = personvernspolicy_data
 
         # --psass required inputs to llm chain
         response = await llm_chain.acall(
             {
                 #"chat_history": [],
                 "question": user_message,
-                "help": help,
+                "help": help1,
                 "help2": help2,
                 "ansatte_faq_data": ansatte_faq_data,
                 "utleiere_faq_data": utleiere_faq_data,