version 1.13, added filter columns, and added a static folder for models, for paster performaance

UI_input_output.py

@@ -189,9 +189,9 @@ def read_clean_model(input_df, mdr_df, model_select):
     print(mdr_df.shape)
 
     ## Model learning ...
-    model = SentenceTransformer('all-MiniLM-L6-v2').to(device)
+    # model = SentenceTransformer('all-MiniLM-L6-v2').to(device)
     # mannually load the model due to not able to connect to huggingface.co at running time from census laptop :
-    # model = SentenceTransformer(f'{model_path}/all-MiniLM-L6-v2').to(device)
+    model = SentenceTransformer(f'{model_path}/all-MiniLM-L6-v2').to(device)
     
     if model_select == 'Cosine':
         result_df = cosineSimilarity(input_df, mdr_df, model)