Update app.py

app.py

@@ -1,25 +1,13 @@
 import pickle
 import gradio as gr
 from chatbot import answer_query_with_context
-from file_utils import load_service_data, load_pickle
+from file_utils import load_database, load_embeddings
 
 database_filepath = 'services-links.csv'
 embeddings_filepath = 'document_embeddings.pkl'
 
-database = load_service_data(database_filepath)
-database_embeddings = load_pickle(embeddings_filepath)
-
-# # If the database has been updated recently, uncomment this block to run the following code to  
-# # recompute the document embeddings and save them as a pickle file for future use.
-
-# from embedding_generation import compute_doc_embeddings  # Import function to generate embeddings
-# from file_utils import save_embeddings  # Import function to save embeddings as a pickle file
-
-# # Compute embeddings for the updated database (DataFrame 'df')
-# database_embeddings = compute_doc_embeddings(df)
-
-# # Save the newly computed embeddings to a file
-# save_embeddings(database_embeddings, embeddings_filepath)
+database = load_database(database_filepath)
+database_embeddings = load_embeddings(database, database_filepath, embeddings_filepath)
 
 def chatbot(input):
     try: