Update app.py

app.py

@@ -25,7 +25,6 @@ def create_digit_samples(n_samples):
         latent_dim = 128
         random_latent_vectors = tf.random.normal(shape=(n_samples, latent_dim))
         examples = model(random_latent_vectors) 
-        examples = examples * 255.0
         size = ceil(sqrt(n_samples))
         digit_images = np.zeros((28*size, 28*size), dtype=float)
         n = 0
@@ -35,7 +34,6 @@ def create_digit_samples(n_samples):
                     break
                 digit_images[i* 28 : (i+1)*28, j*28 : (j+1)*28] = examples[n, :, :, 0]
                 n += 1
-        digit_images = (digit_images/127.5) -1
         return digit_images