Update app.py

app.py

@@ -9,6 +9,18 @@ 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)
+
 def chatbot(input):
     try:
         if input: