Update app.py

app.py

@@ -1,14 +1,24 @@
 
 # ===========================================
-# ver02.02-Zeta.workload-----app.py
+# ver01.01-5.workload-----app.py
 # ===========================================
 
+
+
+#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
 import os
 import re
 import time
 import json
-import pandas as pd
 
 import chainlit as cl
 
@@ -23,25 +33,34 @@ from langchain.memory import ConversationTokenBufferMemory
 from langchain.memory import ConversationSummaryMemory
 
 from api_docs_mck import api_docs_str 
+from frequently_asked_questions import instruction_text, frequently_asked_questions
+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
-FAQs about Daysoff firmahytteorning and personvernspolicy.
-If a question is not about these topics, respond with 
-"Jeg driver faktisk kun med henvendelser omkring bestillingsinformasjon og ofte-stilte-spørsmål i forbindelse 
-med DaysOff firmahytteordning (inkludert personvernspolicyn). Gjelder det andre ting 
-så må du nok kontakte kundeservice direkte på kundeservice@daysoff.no😊"
+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]😊"
 Chat History: {chat_history}
 Question: {question}
 Answer:
 """
 daysoff_assistant_prompt = PromptTemplate(
-    input_variables=['chat_history', 'question'],
+    input_variables=['chat_history', 'question', "instruction_text_faq", "faq", "instruction_text_priv", "personvernspolicy_data"],
     template=daysoff_assistant_template
 )
 
@@ -57,6 +76,7 @@ API URL:
 api_url_prompt = PromptTemplate(input_variables=['api_docs', 'question'],
                                 template=api_url_template)
 
+# If the response includes booking information, provide the information verbatim (do not summarize it.)
     
 api_response_template = """
 With the API Documentation for Daysoff's official API: {api_docs} in mind,
@@ -104,12 +124,14 @@ def setup_multiple_chains():
     conversation_memory = ConversationBufferMemory(memory_key="chat_history", 
                                                    max_len=30,  # --retains only the last 30 exchanges
                                                    return_messages=True,
-    )   
+    )
+    
     # --ConversationTokenBufferMemory
     #conversation_memory = ConversationTokenBufferMemory(memory_key="chat_history",
                                                         #max_token_limit=1318,
                                                         #return_messages=True,
     #)
+
     # --ConversationSummaryMemory
     #conversation_memory = ConversationSummaryMemory(memory_key="chat_history",
                                                     #return_messages=True,
@@ -125,6 +147,10 @@ def setup_multiple_chains():
     api_chain = APIChain.from_llm_and_api_docs(
         llm=llm,
         api_docs=api_docs_str,
+        instruction_text_faq=instruction_text_faq, 
+        faq=faq, 
+        instruction_text_priv=instruction_text_priv, 
+        personvernspolicy_data=personvernspolicy_data,
         api_url_prompt=api_url_prompt,
         api_response_prompt=api_response_prompt,
         verbose=True,
@@ -133,62 +159,27 @@ def setup_multiple_chains():
 
     cl.user_session.set("api_chain", api_chain)
 
-
 @cl.on_message
 async def handle_message(message: cl.Message):
     user_message = message.content #.lower()
     llm_chain = cl.user_session.get("llm_chain")
     api_chain = cl.user_session.get("api_chain")
     
-# --regex
     booking_pattern = r'\b[A-Z]{6}\d{6}\b' 
-# --endpoint
     endpoint_url = "https://670dccd0073307b4ee447f2f.mockapi.io/daysoff/api/V1/booking"
-# --dataframe
-    personvernspolicy_df = pd.read_csv('personvernspolicy.csv')
-    faq_df = pd.read_csv('faq.csv')
-# --dictionaries
-    personvernspolicy_qa = personvernspolicy_df.to_dict(orient='records')
-    faq_qa = faq_df.to_dict(orient='records')
-# --keywords
-    personvernspolicy_keywords = personvernspolicy_df['question'].tolist()
-    faq_keywords = faq_df['question'].tolist()
-    all_keywords = personvernspolicy_keywords + faq_keywords
 
-    
     if re.search(booking_pattern, user_message):  
-
         bestillingskode = re.search(booking_pattern, user_message).group(0)  
         question = f"Retrieve information for booking ID {endpoint_url}?search={bestillingskode}"
-       
+   
         response = await api_chain.acall(
             {
                 "bestillingskode": bestillingskode,
                 "question": question
+              
             },
-            callbacks=[cl.AsyncLangchainCallbackHandler()]
-        )
-
-    elif any(keyword.lower() in user_message.lower() for keyword in all_keywords):
-        
-        matched_entry = None
-        for qa_entry in personvernspolicy_qa + faq_qa:
-            if qa_entry['question'].lower() in user_message.lower():
-                matched_entry = qa_entry
-                break 
-    
-        if matched_entry:
-            question = f"User Question: {user_message}\nMatched FAQ:\n{matched_entry}"
-            response = await llm_chain.acall(
-                {
-                    "question": question
-                },
-                callbacks=[cl.AsyncLangchainCallbackHandler()]
-            )
-        else:
-            
-            response = await llm_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
-    
+            callbacks=[cl.AsyncLangchainCallbackHandler()])
+
     else:    
         response = await llm_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])