Update app.py

app.py

@@ -22,10 +22,6 @@ from llama_index.core import PromptTemplate
 from llama_index.core.llms import ChatMessage, MessageRole
 from llama_index.core.chat_engine import CondenseQuestionChatEngine
 
-# Helps asyncio run within Jupyter
-import nest_asyncio
-import asyncio
-nest_asyncio.apply()
 
 # load env file
 load_dotenv()
@@ -74,7 +70,7 @@ else:
     )
     documents = reader.load_data()
     print("index creating with `%d` documents", len(documents))
-    index = VectorStoreIndex.from_documents(documents, embed_model=embed_model, transformations=[splitter], use_async=True)
+    index = VectorStoreIndex.from_documents(documents, embed_model=embed_model, transformations=[splitter])
     index.storage_context.persist(persist_dir="./vectordb")
 
 """
@@ -118,7 +114,6 @@ retriever = DocumentSummaryIndexEmbeddingRetriever(
 retriever = VectorIndexRetriever(
     index = index,
     similarity_top_k = 10,
-    use_async=True
     #vector_store_query_mode="mmr",
     #vector_store_kwargs={"mmr_threshold": 0.4}
 )
@@ -197,13 +192,13 @@ with gr.Blocks() as demo:
             placeholder="Ask me something",)
     clear = gr.Button("Delete")
 
-    async def user(user_message, history):
+    def user(user_message, history):
         return "", history + [[user_message, None]]
 
-    async def bot(history):
+    def bot(history):
         user_message = history[-1][0]
         #bot_message = chat_engine.chat(user_message)
-        bot_message = await query_engine.aquery(user_message + "Let's think step by step to get the correct answer. If you cannot provide an answer, say you don't know.")
+        bot_message = query_engine.query(user_message + "Let's think step by step to get the correct answer. If you cannot provide an answer, say you don't know.")
         history[-1][1] = ""
         for character in bot_message.response:
             history[-1][1] += character
@@ -215,4 +210,4 @@ with gr.Blocks() as demo:
     )
     clear.click(lambda: None, None, chatbot, queue=False)
 # demo.queue()
-asyncio.run(demo.launch(share=False))
+demo.launch(share=False)