Update app.py

app.py

@@ -25,12 +25,12 @@ region_df = load_region_data(region_lookup_path)
 ####################  Create the embeddings collection and save ######################
 # the steps below need to be performed only once and then commented out any unnecssary compute over-run
 ##### First we process and create the chunks for relvant data source
-chunks = process_giz_worldwide()
+#chunks = process_giz_worldwide()
 ##### Convert to langchain documents
-temp_doc = create_documents(chunks,'chunks')
+#temp_doc = create_documents(chunks,'chunks')
 ##### Embed and store docs, check if collection exist then you need to update the collection
 collection_name = "giz_worldwide"
-hybrid_embed_chunks(docs=temp_doc, collection_name=collection_name, del_if_exists=True)
+#hybrid_embed_chunks(docs=temp_doc, collection_name=collection_name, del_if_exists=True)
 
 ################### Hybrid Search #####################################################
 client = get_client()