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ab1abf8
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Parent(s):
506eed4
Update app.py
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app.py
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@@ -1,7 +1,7 @@
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import gradio as gr
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from subprocess import call
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# UI Components Setup
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with gr.Blocks() as ui:
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with gr.Row():
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video = gr.File(label="Video or Image", info="Filepath of video/image that contains faces to use")
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@@ -19,36 +19,30 @@ with gr.Blocks() as ui:
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generate_btn = gr.Button("Generate")
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with gr.Column():
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result = gr.Video()
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# Define the generate function
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def generate(video, audio, checkpoint, no_smooth, resize_factor, pad_top, pad_bottom, pad_left, pad_right):
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if video is None or audio is None or checkpoint is None:
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return
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return "results/output.mp4"
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generate,
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[video, audio, checkpoint, no_smooth, resize_factor, pad_top, pad_bottom, pad_left, pad_right],
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result)
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# Create the interface
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iface = gr.Interface(ui.queue(), "web", debug=True)
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# Launch the interface
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iface.launch()
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import gradio as gr
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from subprocess import call
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# UI Components Setup with the generate function
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with gr.Blocks() as ui:
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with gr.Row():
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video = gr.File(label="Video or Image", info="Filepath of video/image that contains faces to use")
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generate_btn = gr.Button("Generate")
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with gr.Column():
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result = gr.Video()
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# Define the generate function
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def generate():
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if video is None or audio is None or checkpoint is None:
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return
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smooth = "--nosmooth" if no_smooth else ""
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cmd = [
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"python3.8", # Use Python 3.8
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"inference.py",
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"--checkpoint_path", f"checkpoints/{checkpoint}.pth",
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"--segmentation_path", "checkpoints/face_segmentation.pth",
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"--enhance_face", "gfpgan",
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"--face", video.name,
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"--audio", audio.name,
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"--outfile", "results/output.mp4",
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]
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call(cmd)
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result.value = "results/output.mp4"
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# Create the interface
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iface = gr.Interface(ui.queue(), generate_btn, "web", debug=True)
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# Launch the interface
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iface.launch(share=True)
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