Update app.py

app.py

@@ -85,12 +85,6 @@ for key, url in pretrain_model_url.items():
     model_dir = './ckpts' if key in ['vae', 'dit'] else '.'
     load_file_from_url(url=url, model_dir=model_dir)
 
-# Baixar vídeos de exemplo
-#torch.hub.download_url_to_file('https://huggingface.co/datasets/Iceclear/SeedVR_VideoDemos/resolve/main/seedvr_videos_crf23/aigc1k/23_1_lq.mp4', '01.mp4')
-#torch.hub.download_url_to_file('https://huggingface.co/datasets/Iceclear/SeedVR_VideoDemos/resolve/main/seedvr_videos_crf23/aigc1k/28_1_lq.mp4', '02.mp4')
-#torch.hub.download_url_to_file('https://huggingface.co/datasets/Iceclear/SeedVR_VideoDemos/resolve/main/seedvr_videos_crf23/aigc1k/2_1_lq.mp4', '03.mp4')
-print("✅ Setup completo. Iniciando a aplicação...")
-
 # --- ETAPA 5: Executar a Aplicação Principal ---
 import torch
 import mediapy
@@ -199,7 +193,5 @@ with gr.Blocks(title="SeedVR") as demo:
     output_video = gr.Video(label="Vídeo de Saída")
     download_link = gr.File(label="Baixar Resultado")
     run_button.click(fn=generation_loop, inputs=[input_file, seed, fps], outputs=[output_image, output_video, download_link])
-    gr.Examples(examples=[["01.mp4", 42, 24], ["02.mp4", 42, 24], ["03.mp4", 42, 24]], inputs=[input_file, seed, fps])
-    gr.HTML("""<hr>...""")
 
 demo.queue().launch(share=True)