Update app.py

app.py

@@ -9,8 +9,8 @@ from sklearn.preprocessing import StandardScaler, OneHotEncoder, LabelEncoder
 
 
 REPO_ID = "Hemg/modelxxx" # hugging face  repo ID
-MoDEL_FILENAME = "best_model.joblib" # model file name
-SCALER_FILENAME ="log.joblib" # scaler file name
+MoDEL_FILENAME = "studentpredict.joblib" # model file name
+SCALER_FILENAME ="studentscaler.joblib" # scaler file name
 
 model = joblib.load(hf_hub_download(repo_id=REPO_ID, filename=MoDEL_FILENAME))