Deploying PDF Version v8

app.py

@@ -133,10 +133,18 @@ logger.debug("Defining main function")
 
 @cl.on_message
 async def main(message):
-    logger.debug(f"Main function called with message: {message}")
+    debug_info = f"""
+    Debug Info:
+    Message type: {type(message)}
+    Message: {message}
+    Message dir: {dir(message)}
+    """
+    print(debug_info)
+    
     try:
-        print(f"Received message type: {type(message)}")
-        print(f"Message content: {message.content}")
+        # If message is a string, wrap it in a cl.Message object
+        if isinstance(message, str):
+            message = cl.Message(content=message)
         
         chain = cl.user_session.get("chain")  # type: ConversationalRetrievalChain
         cb = cl.AsyncLangchainCallbackHandler()
@@ -161,9 +169,7 @@ async def main(message):
         
         await cl.Message(content=answer, elements=text_elements).send()
     
-    except AttributeError as e:
-        print(f"AttributeError occurred: {e}")
-        print(f"Message type: {type(message)}")
-        print(f"Message: {message}")
-        print(f"Message dir: {dir(message)}")
-        await cl.Message(content=f"An error occurred: {e}\nMessage type: {type(message)}\nMessage: {message}").send()
+    except Exception as e:
+        error_message = f"An error occurred: {str(e)}\n\n{debug_info}"
+        print(error_message)
+        await cl.Message(content=error_message).send()

requirements.txt

@@ -2,5 +2,5 @@ langchain==0.0.198
 chromadb==0.3.22
 tiktoken==0.3.3
 pypdf==3.8.1
-chainlit==0.7.0
+chainlit==0.7.700
 openai==0.27.8