Add missing constants

app.py

@@ -9,6 +9,11 @@ train_mean = 0
 train_std = pd.Series(data=[1.550274e+01, 1.574251e+01, 1.526607e+01, 1.550392e+01, 1.066174e+01, 1.960896e+06 ], 
                       index=['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume' ])
 
+prediction_horizon = 32
+look_back = 64
+feature_selected = ['Open', 'Volume']
+label_selected = 'Open'
+
 class MyDataset:
     """Great for big datasets and long sequencies"""
     def __init__(self, df, features, target, look_back=1, prediction_horizon=1):