Update app.py

app.py

@@ -130,6 +130,9 @@ chain = load_qa_chain(llm=llm, chain_type="stuff", prompt=PROMPT)
 
 def run_chain(user_query):
     pinecone.init(api_key=PINECONE_API_KEY, environment=PINECONE_ENVIRONMENT)
+    index_name_extracted=pinecone.list_indexes()
+    index_current = pinecone.Index(index_name=index_name)
+    index_status=index_current.describe_index_stats() 
     if user_query !="" and not user_query.strip().isspace() and not user_query.isspace():
       print("Your query:\n"+user_query)
       vector_db_from_index = Pinecone.from_existing_index(index_name, hf_embeddings, namespace=namespace)