Update app.py

app.py

@@ -247,7 +247,7 @@ if (runModel=='1'):
     
     upload_folder(
         folder_path=model_path,
-        path_in_repo="data-timeframe_model",
+        path_in_repo="data-timeframe_2_model",
         repo_id=repo_name,
         token=api_token,
         commit_message="Update fine-tuned model for test",
@@ -256,7 +256,7 @@ if (runModel=='1'):
 
     upload_folder(
         folder_path=tokenizer_path,
-        path_in_repo="data-timeframe_tokenizer",
+        path_in_repo="data-timeframe_2_tokenizer",
         repo_id=repo_name,
         token=api_token,
         commit_message="Update fine-tuned tokenizer",
@@ -270,8 +270,8 @@ if (runModel=='1'):
 else:
     print('Load Pre-trained')
 
-    #model_save_path = "./" + modelNameToUse + "_model"
-    #tokenizer_save_path = "./" + modelNameToUse + "_tokenizer"
+    #model_save_path = "./" + modelNameToUse + "_2_model"
+    #tokenizer_save_path = "./" + modelNameToUse + "_2_tokenizer"
     
     model_name = "Reyad-Ahmmed/hf-data-timeframe"