Update app.py

app.py

@@ -34,7 +34,7 @@ pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=
 MAX_SEED = np.iinfo(np.int32).max
 
 @spaces.GPU 
-def infer(prompt, seed=1, randomize_seed=False, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
+def infer(prompt, seed=1, randomize_seed=False, num_inference_steps=28):
     prompt_template = f"A side by side 4 frame image showing high quality consecutive stills from a looped gif animation moving from left to right. The scene has motion. The stills are of {prompt}"
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -122,6 +122,7 @@ with gr.Blocks(css=css) as demo:
             fn=infer,
             cache_examples="lazy"
         )
+        
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn = infer,