Update app.py

app.py

@@ -25,7 +25,7 @@ model1.add(keras.layers.UpSampling2D((1, 1)))
 model1.add(keras.layers.Conv2D(3, (9, 9), activation='tanh', padding='same'))
 
 #Loading the weights in the architecture (The file should be stored in the same directory as the code)
-model1.load_weights('/content/modelV13_500trained_1.h5')
+model1.load_weights('modelV13_500trained_1.h5')
 
 def predict(mask):
   X = numpy.round((mask/255.0))[numpy.newaxis, :, :, numpy.newaxis]