Update app.py

app.py

@@ -36,11 +36,9 @@ if 'generate' in st.session_state:
   unique_id = int(1_000_000 * time.time())
   latents = sample_latent(ROWS * COLUMNS, jax.random.PRNGKey(unique_id))
   previous = st.session_state['generate']
-  if previous:
-    print("Now generating similar")
+  if previous is not None:
     latents = np.repeat([previous], repeats=16, axis=0) + 0.01 * latents
   else:
-    print("Now generating random")
   (g_out128, _, _, _, _, _) = generator.apply({'params': g_state['params'], 'batch_stats': g_state['batch_stats']}, latents, training=False)
   img = np.array(to_img(g_out128))
   for row in range(ROWS):