Update app.py

app.py

@@ -207,7 +207,7 @@ end = start + train_split
 if ("0" == "mycustom"):
 	x_train = train_data[[i for i in range(7)]].values
 if ("0" != "mycustom"):
-	x_train = train_data[[i for i in range(myfields.len())]].values
+	x_train = train_data[[i for i in range(len(myfields))]].values
 y_train = features.iloc[start:end][[1]]
 
 sequence_length = int(past / step)
@@ -218,7 +218,7 @@ label_start = train_split + past + future
 if ("0" == "mycustom"):
 	x_val = val_data.iloc[:x_end][[i for i in range(7)]].values
 if ("0" != "mycustom"):
-	x_val = val_data.iloc[:x_end][[i for i in range(myfields.len())]].values
+	x_val = val_data.iloc[:x_end][[i for i in range(len(myfields))]].values
 y_val = features.iloc[label_start:][[1]]
 
 dataset_val = keras.preprocessing.timeseries_dataset_from_array(