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Update app.py
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app.py
CHANGED
@@ -32,34 +32,18 @@ gradio_pipeline = GradioPipeline(
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args=args
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def gpu_wrapped_execute_video(*args, **kwargs):
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return gradio_pipeline.execute_video(*args, **kwargs)
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def gpu_wrapped_execute_s_video(*args, **kwargs):
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return gradio_pipeline.execute_s_video(*args, **kwargs)
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def gpu_wrapped_execute_image(*args, **kwargs):
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return gradio_pipeline.execute_image(*args, **kwargs)
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# assets
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title_md = "assets/gradio_title.md"
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example_portrait_dir = "assets/examples/source"
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example_video_dir = "assets/examples/driving"
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[osp.join(example_portrait_dir, "s9.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, False],
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[osp.join(example_portrait_dir, "s6.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, False],
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[osp.join(example_portrait_dir, "s10.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, False],
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[osp.join(example_portrait_dir, "s5.jpg"), osp.join(example_video_dir, "d18.mp4"), True, True, True, False],
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[osp.join(example_portrait_dir, "s7.jpg"), osp.join(example_video_dir, "d19.mp4"), True, True, True, False],
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[osp.join(example_portrait_dir, "s2.jpg"), osp.join(example_video_dir, "d13.mp4"), True, True, True, True],
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]
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#################### interface logic ####################
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# Define components first
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lip_retargeting_slider = gr.Slider(minimum=0, maximum=0.8, step=0.01, label="target lip-open ratio")
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retargeting_input_image = gr.Image(type="filepath")
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output_image = gr.Image(type="numpy")
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output_image_paste_back = gr.Image(type="numpy")
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@@ -72,74 +56,7 @@ output_video_concat1 = gr.Video()
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.HTML(load_description(title_md))
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gr.Markdown(load_description("assets/gradio_description_upload.md"))
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with gr.Accordion(open=True, label="Source Portrait"):
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image_input = gr.Image(type="filepath")
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gr.Examples(
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examples=[
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[osp.join(example_portrait_dir, "s9.jpg")],
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[osp.join(example_portrait_dir, "s6.jpg")],
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[osp.join(example_portrait_dir, "s10.jpg")],
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[osp.join(example_portrait_dir, "s5.jpg")],
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[osp.join(example_portrait_dir, "s7.jpg")],
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[osp.join(example_portrait_dir, "s12.jpg")],
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],
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inputs=[image_input],
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cache_examples=False,
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)
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with gr.Accordion(open=True, label="Driving Video"):
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video_input = gr.Video()
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gr.Examples(
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examples=[
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[osp.join(example_video_dir, "d0.mp4")],
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[osp.join(example_video_dir, "d18.mp4")],
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[osp.join(example_video_dir, "d19.mp4")],
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[osp.join(example_video_dir, "d14.mp4")],
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[osp.join(example_video_dir, "d6.mp4")],
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],
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inputs=[video_input],
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cache_examples=False,
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)
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with gr.Row():
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with gr.Accordion(open=False, label="Animation Instructions and Options"):
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gr.Markdown(load_description("assets/gradio_description_animation.md"))
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with gr.Row():
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flag_relative_input = gr.Checkbox(value=True, label="relative motion")
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flag_do_crop_input = gr.Checkbox(value=True, label="do crop (source)")
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flag_remap_input = gr.Checkbox(value=True, label="paste-back")
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flag_crop_driving_video_input = gr.Checkbox(value=False, label="do crop (driving video)")
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with gr.Row():
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with gr.Column():
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process_button_animation = gr.Button("🚀 Animate", variant="primary")
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with gr.Column():
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process_button_reset = gr.ClearButton([image_input, video_input, output_video, output_video_concat], value="🧹 Clear")
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with gr.Row():
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with gr.Column():
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with gr.Accordion(open=True, label="The animated video in the original image space"):
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output_video.render()
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with gr.Column():
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with gr.Accordion(open=True, label="The animated video"):
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output_video_concat.render()
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with gr.Row():
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# Examples
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gr.Markdown("## You could also choose the examples below by one click ⬇️")
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with gr.Row():
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gr.Examples(
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examples=data_examples,
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fn=gpu_wrapped_execute_video,
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inputs=[
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image_input,
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video_input,
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flag_relative_input,
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flag_do_crop_input,
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flag_remap_input,
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flag_crop_driving_video_input
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],
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outputs=[output_image, output_image_paste_back],
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examples_per_page=len(data_examples),
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cache_examples=False,
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)
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with gr.Row():
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# Examples
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gr.Markdown("## For video to video")
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with gr.Accordion(open=True, label="The animated video"):
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output_video_concat1.render()
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gr.Markdown(load_description("assets/gradio_description_retargeting.md"), visible=True)
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with gr.Row(visible=True):
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eye_retargeting_slider.render()
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lip_retargeting_slider.render()
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with gr.Row(visible=True):
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process_button_retargeting = gr.Button("🚗 Retargeting", variant="primary")
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process_button_reset_retargeting = gr.ClearButton(
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[
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eye_retargeting_slider,
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lip_retargeting_slider,
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retargeting_input_image,
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output_image,
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output_image_paste_back
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],
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value="🧹 Clear"
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)
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with gr.Row(visible=True):
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with gr.Column():
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with gr.Accordion(open=True, label="Retargeting Input"):
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retargeting_input_image.render()
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gr.Examples(
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examples=[
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[osp.join(example_portrait_dir, "s9.jpg")],
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[osp.join(example_portrait_dir, "s6.jpg")],
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[osp.join(example_portrait_dir, "s10.jpg")],
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[osp.join(example_portrait_dir, "s5.jpg")],
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[osp.join(example_portrait_dir, "s7.jpg")],
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[osp.join(example_portrait_dir, "s12.jpg")],
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],
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inputs=[retargeting_input_image],
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cache_examples=False,
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)
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with gr.Column():
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with gr.Accordion(open=True, label="Retargeting Result"):
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output_image.render()
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with gr.Column():
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with gr.Accordion(open=True, label="Paste-back Result"):
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output_image_paste_back.render()
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# binding functions for buttons
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# fn=gradio_pipeline.execute_image,
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fn=gpu_wrapped_execute_image,
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inputs=[eye_retargeting_slider, lip_retargeting_slider, retargeting_input_image, flag_do_crop_input],
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outputs=[output_image, output_image_paste_back],
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show_progress=True
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)
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process_button_animation.click(
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fn=gpu_wrapped_execute_video,
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inputs=[
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image_input,
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video_input,
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flag_relative_input,
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flag_do_crop_input,
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flag_remap_input,
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flag_crop_driving_video_input
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],
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outputs=[output_video, output_video_concat],
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show_progress=True
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)
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process_button_source_animation.click(
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fn=gpu_wrapped_execute_s_video,
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inputs=[
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args=args
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)
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def gpu_wrapped_execute_s_video(*args, **kwargs):
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return gradio_pipeline.execute_s_video(*args, **kwargs)
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# assets
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title_md = "assets/gradio_title.md"
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example_portrait_dir = "assets/examples/source"
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example_video_dir = "assets/examples/driving"
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#################### interface logic ####################
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# Define components first
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retargeting_input_image = gr.Image(type="filepath")
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output_image = gr.Image(type="numpy")
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output_image_paste_back = gr.Image(type="numpy")
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.HTML(load_description(title_md))
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gr.Markdown(load_description("assets/gradio_description_upload.md"))
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with gr.Row():
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# Examples
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gr.Markdown("## For video to video")
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with gr.Accordion(open=True, label="The animated video"):
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output_video_concat1.render()
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# binding functions for buttons
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process_button_source_animation.click(
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fn=gpu_wrapped_execute_s_video,
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inputs=[
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