Update app.py

app.py

@@ -245,7 +245,7 @@ def infer(
 
     generator = torch.Generator("cpu").manual_seed(seed)
 
-    progress=gr.Progress(track_tqdm=True)
+    # progress=gr.Progress(track_tqdm=True)
     output = cache_pipeline["pipeline"](
         prompt=prompt,
         num_frames=16,
@@ -416,7 +416,7 @@ with gr.Blocks(css=css) as demo:
                         num_inference_steps = gr.Slider(
                             label="Number of inference steps",
                             minimum=1,
-                            maximum=16,
+                            maximum=12,
                             step=1,
                             value=4,
                         )