Update app.py

app.py

@@ -14,7 +14,7 @@ style_weight = 1e-6
 content_weight = 2.5e-8
 
 # Build a VGG19 model loaded with pre-trained ImageNet weights
-model = from_pretrained_keras("rushic24/keras-VGG19")
+model = from_pretrained_keras("keras-io/VGG19")
 
 # Get the symbolic outputs of each "key" layer (we gave them unique names).
 outputs_dict = dict([(layer.name, layer.output) for layer in model.layers])