Update app.py

app.py

@@ -412,7 +412,7 @@ def create_vector_db_and_annoy_index(pdf_path, vector_db_path, annoy_index_path)
 # Cell 9: Run the store embeddings function (example)
 # Replace 'example.pdf' with your PDF file path.
 # It will create 'vector_db.pkl' and 'vector_index.ann'
-create_vector_db_and_annoy_index(pdf_path, 'vector_db.pkl', 'vector_index.ann')
+#create_vector_db_and_annoy_index(pdf_path, 'vector_db.pkl', 'vector_index.ann')
 
 # # Cell 10: Query the chatbot with user input
 # async def query_chatbot():
@@ -506,7 +506,9 @@ def chatbot_interface(user_query, response_style, selected_retrieval_methods, se
     annoy_index_path = "vector_index.ann"
     if pdf_file is not None:
         pdf_path = pdf_file.name  # Get the path of the uploaded file
+        create_vector_db_and_annoy_index(pdf_path, 'vector_db.pkl', 'vector_index.ann')
         store_embeddings_in_vector_db(pdf_path, 'vector_db.pkl', 'vector_index.ann', chunk_size, overlap)
+        
     else:
         return "Please upload a PDF file."