Update app.py

app.py

@@ -3,7 +3,7 @@ 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("C:/Users/owner/Desktop/MyNet.h5", custom_objects={'psnr': psnr, 'val_psnr': psnr})
+model = load_model("./MyNet.h5", custom_objects={'psnr': psnr, 'val_psnr': psnr})
 
 def predict_input_image(img):
   #img_4d=img.reshape(-1,180,180,3)