Update app.py

app.py

@@ -5,6 +5,7 @@ import numpy as np
 def psnr(y_true, y_pred):
     return -10*K.log(K.mean(K.flatten((y_true - y_pred))**2)) / np.log(10)
 
+
 from keras.models import load_model
 model = load_model("./MyNet.h5", custom_objects={'psnr': psnr, 'val_psnr': psnr})