Update app.py (#2)

app.py

@@ -153,7 +153,7 @@ def get_imgs(base_image_path, style_reference_image_path):
   for i in range(1, iterations + 1):
       loss, grads = compute_loss_and_grads(combination_image, base_image, style_reference_image)
       optimizer.apply_gradients([(grads, combination_image)])
-      if i % 100 == 0:
+      if i % 5 == 0:
           print("Iteration %d: loss=%.2f" % (i, loss))
           img = deprocess_image(combination_image.numpy())
   return img