Update app.py

app.py

@@ -1,5 +1,4 @@
 import os
-from getpass import getpass
 import streamlit as st
 from llama_index.node_parser import SemanticSplitterNodeParser
 from llama_index.embeddings import OpenAIEmbedding
@@ -14,8 +13,7 @@ from llama_index.query_engine import RetrieverQueryEngine
 # Streamlit interface for inputting API keys
 st.title("Annual Report Summary Chatbot")
 pinecone_api_key = os.getenv("PINECONE_API_KEY")
-openai_api_key = os.getenv("OPENAI_API_KEY") 
-
+openai_api_key = os.getenv("OPENAI_API_KEY")
 
 if pinecone_api_key and openai_api_key:
     # This will be the model we use both for Node parsing and for vectorization
@@ -58,7 +56,3 @@ if pinecone_api_key and openai_api_key:
     if st.button("Submit"):
         llm_query = query_engine.query(user_query)
         st.write(llm_query.response)
-
-# Run the app
-if __name__ == "__main__":
-    st.run()