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Running
Running
salomonsky
commited on
Commit
·
2a9297b
1
Parent(s):
a0def52
Update app.py
Browse files
app.py
CHANGED
@@ -8,7 +8,6 @@ try:
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except:
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in_webui = False
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-
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def toggle_audio_file(choice):
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if choice == False:
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return gr.update(visible=True), gr.update(visible=False)
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@@ -42,11 +41,9 @@ with gr.Blocks(analytics_enabled=False) as demo:
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with gr.TabItem('Settings'):
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gr.Markdown("need help? please visit our [best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md) for more detials")
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with gr.Column(variant='panel'):
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# width = gr.Slider(minimum=64, elem_id="img2img_width", maximum=2048, step=8, label="Manually Crop Width", value=512) # img2img_width
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# height = gr.Slider(minimum=64, elem_id="img2img_height", maximum=2048, step=8, label="Manually Crop Height", value=512) # img2img_width
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pose_style = gr.Slider(minimum=0, maximum=46, step=1, label="Pose style", value=0) #
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size_of_image = gr.Radio([256, 512], value=
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preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='
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is_still_mode = gr.Checkbox(label="Still Mode (fewer hand motion, works with preprocess `full`)")
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batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=2)
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enhancer = gr.Checkbox(label="GFPGAN as Face enhancer")
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except:
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in_webui = False
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def toggle_audio_file(choice):
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if choice == False:
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return gr.update(visible=True), gr.update(visible=False)
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with gr.TabItem('Settings'):
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gr.Markdown("need help? please visit our [best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md) for more detials")
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with gr.Column(variant='panel'):
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pose_style = gr.Slider(minimum=0, maximum=46, step=1, label="Pose style", value=0) #
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size_of_image = gr.Radio([256, 512], value=512, label='face model resolution', info="use 256/512 model?") #
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preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='full', label='preprocess', info="How to handle input image?")
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is_still_mode = gr.Checkbox(label="Still Mode (fewer hand motion, works with preprocess `full`)")
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batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=2)
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enhancer = gr.Checkbox(label="GFPGAN as Face enhancer")
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