Update app.py

app.py

@@ -38,6 +38,8 @@ index = VectorStoreIndex.from_documents(documents)
 
 @cl.on_chat_start
 async def factory():
+    msg = cl.Message(content=f"Building Index...")
+    await msg.send()
     # llm_predictor = LLMPredictor(
     #     llm=ChatOpenAI(
     #         temperature=0,
@@ -61,6 +63,9 @@ async def factory():
         service_context=gpt_35_context
     )
 
+    msg.content = f"Index built!"
+    await msg.send()
+
     cl.user_session.set("query_engine", query_engine)
 
 
@@ -70,4 +75,15 @@ async def main(message):
     response = await cl.make_async(query_engine.query)(message)
     print(response)
     
-    await cl.Message(content=response).send()
+    # await cl.Message(content=response).send()
+    response_message = cl.Message(content="")
+    response_message.content = response
+    print(response_message)
+    await response_message.send()
+    # # for token in response.response_gen:
+    # #     await response_message.stream_token(token=token)
+
+    # # if response.response_txt:
+    # response_message.content = response
+
+    # await response_message.send()