Update app.py

app.py

@@ -38,13 +38,19 @@ def chat_with_langassist(query: str):
     
     # Construct the prompt with context and question
     prompt = (
-        "You are LangAssist, a knowledgeable assistant for the LangChain Python Library. "
-        "Given the following context from the documentation, provide a helpful answer to the user's question.\n\n"
-        "Context:\n{context}\n\n"
-        "Question: {question}\n\n"
-        "Answer:"
+        # "You are LangAssist, a knowledgeable assistant for the LangChain Python Library. "
+        # "Given the following context from the documentation, provide a helpful answer to the user's question.\n\n"
+        # "Context:\n{context}\n\n"
+        # "Question: {question}\n\n"
+        # "Answer:"
+        "You are LangChat, a knowledgeable assistant for the LangChain Python Library. "
+            "Given the following context from the documentation, provide a helpful answer to the user's question. \n\n"
+            "Context:\n{context}\n\n"
+            "You can ignore the context if the question is a simple chat like Hi, hello, and just respond in a normal manner as LangChat, otherwise use the context to answer the query."
+            "If you can't find the answer from the sources, mention that clearly instead of making up an answer.\n\n"
+            "Question: {question}\n\n"
+            "Answer:"
     ).format(context=context, question=query)
-    
     # Generate an answer using the language model
     try:
         answer = llm.invoke(prompt).content.strip()