The model is very simple in this case:

def model(self):
      model = Sequential()
      model.add(self.Generator)
      model.add(self.Discriminator)
      return model

Use a sequential model with the generator as the first piece and the discriminator as the second. The GAN model will then take in a latent sample and output a probability regarding whether it belongs to that class or not.