renew

app.py

@@ -31,12 +31,11 @@ log_folder = log_file.parent
 log_folder.mkdir(parents=True, exist_ok=True) # mkdir!
 
 scheduler = CommitScheduler(
-    repo_id="insurance-charge-mlops-logs",  # provide a name "insurance-charge-mlops-logs" for the repo_id
+    repo_id="Keytaro/insurance-charge-mlops-logs",  # provide a name "insurance-charge-mlops-logs" for the repo_id
     repo_type="dataset",
     folder_path=log_folder,
     path_in_repo="data",
     every=2,
-    use_auth_token=True,
 )
 
 # Define the predict function which will take features, convert to dataframe and make predictions using the saved model