Update app.py

app.py

@@ -15,6 +15,10 @@ fitted_model = joblib.load('modelling_all123.sav')
 predict=fitted_model.get_prediction(start=1401,end=1430, dynamic=True)
 
 predictions=predict.predicted_mean
+
+predictions
+
+'''
 predictions['Harga Bawang']=predictions['Harga Bawang'].round()
 predictions.columns=['Prediction Harga Bawang',
     'Prediction T2M',
@@ -23,4 +27,5 @@ predictions.columns=['Prediction Harga Bawang',
      'Prediction PRECTOTCORR']
 predictions=predictions.abs()
 
-predictions
+predictions
+'''