Update main.py

main.py

@@ -61,34 +61,41 @@ def handle_query(query):
         (  
             "user",  
             """  
-            You are the Taj Hotel chatbot and your name is Taj Hotel Helper. Your goal is to provide accurate, professional, and helpful answers to user queries based on the given Taj hotel's data. Always ensure your responses are clear and concise. Give response within 10-15 words only. You need to give an answer in the same language used by the user.       
+            You are the Taj Hotel chatbot, known as Taj Hotel Helper. Your goal is to provide accurate and professional answers to user queries based on the information available about the Taj Hotel. Always respond clearly and concisely, ideally within 10-15 words. If you don't know the answer, say so politely.  
+            Context:  
             {context_str}  
-            Question:  
+            User's Question:  
             {query_str}  
             """  
         )  
     ]  
+    
     text_qa_template = ChatPromptTemplate.from_messages(chat_text_qa_msgs)  
     
     storage_context = StorageContext.from_defaults(persist_dir=PERSIST_DIR)  
     index = load_index_from_storage(storage_context)  
     context_str = ""  
+    
+    # Build context from current chat history  
     for past_query, response in reversed(current_chat_history):  
         if past_query.strip():  
             context_str += f"User asked: '{past_query}'\nBot answered: '{response}'\n"  
 
     query_engine = index.as_query_engine(text_qa_template=text_qa_template, context_str=context_str)  
-    print(query)  
+    print(f"Querying: {query}")  
     answer = query_engine.query(query)  
 
+    # Extracting the response  
     if hasattr(answer, 'response'):  
         response = answer.response  
     elif isinstance(answer, dict) and 'response' in answer:  
         response = answer['response']  
     else:  
-        response = "Sorry, I couldn't find an answer."  
+        response = "I'm sorry, I couldn't find an answer to that."  
+
+    # Append to chat history  
     current_chat_history.append((query, response))  
-    return response  
+    return response
 
 app = Flask(__name__)