Update app.py

app.py

@@ -188,8 +188,11 @@ x_end = len(val_data) - past - future
 
 label_start = train_split + past + future
 
-x_val = val_data.iloc[:x_end][[i for i in range(myrangeend)]].values
-y_val = features.iloc[label_start:][[1]]
+#x_val = val_data.iloc[:x_end][[i for i in range(myrangeend)]].values
+#y_val = features.iloc[label_start:][[1]]
+
+x_val = val_data.reindex(columns=mycolumns).iloc[:x_end][[i for i in range(myrangeend)]].values
+y_val = features.reindex(columns=mycolumns).iloc[label_start:][[1]]
 
 dataset_val = keras.preprocessing.timeseries_dataset_from_array(
     x_val,