Update app.py

app.py

@@ -232,6 +232,12 @@ if (runModel=='1'):
         commit_message="Update fine-tuned model for test",
         #overwrite=True  # Force overwrite existing files
     )
+
+    api.delete_file(repo_name, path_or_id="data-timeframe_tokenizer")
+    tokenizer_files = os.listdir(tokenizer_path)
+    tokenizer_files = [file for file in tokenizer_files]
+    print("Specific files in tokenizer directory After Delete:", tokenizer_files)
+
     upload_folder(
         folder_path='./data-timeframe_tokenizer',
         path_in_repo="data-timeframe_tokenizer",
@@ -241,8 +247,10 @@ if (runModel=='1'):
         #overwrite=True  # Force overwrite existing files
     )
     
-    print("tokenizer folder: ", tokenizer_path)
-    
+    tokenizer_files = os.listdir(tokenizer_path)
+    tokenizer_files = [file for file in tokenizer_files]
+    print("Specific files in tokenizer directory After Commit:", tokenizer_files)
+
 else:
     print('Load Pre-trained')