Update app.py

app.py

@@ -113,15 +113,7 @@ if (runModel=='1'):
         evaluation_strategy="epoch",
         
     )
-
-    upload_folder( 
-        folder_path=training_args.output_dir, 
-        path_in_repo=f"{modelNameToUse}_results", 
-        repo_id=repo_name, 
-        token=api_token, 
-        commit_message="Upload training results" 
-    )
-
+    
     trainer = Trainer(
         model=model,
         args=training_args,
@@ -185,9 +177,6 @@ if (runModel=='1'):
     tokenizer.save_pretrained('./' + modelNameToUse + '_tokenizer')
 
     
-
-
-
     
 else:
     print('Load Pre-trained')