Update app.py

app.py

@@ -119,7 +119,7 @@ async def start():
         ensemble_retriever = await create_ensemble_retriever(vector_db, bm25) # create the ensemble retriever
         cl.user_session.set("ensemble_retriever", ensemble_retriever) # store the ensemble retriever in the user session for our on message function
     except Exception as e:
-        await cl.Message(content=f"failed to load model: {e}").send() # display the error if we failed to load the model
+        await cl.Message(content=f"error that happened: {e}").send() # display the error if we failed to load the model
 
 @cl.on_message
 async def message(message: cl.Message):