| import gradio as gr | |
| from subprocess import call | |
| with gr.Blocks() as ui: | |
| with gr.Row(): | |
| video = gr.File(label="Video or Image", info="Filepath of video/image that contains faces to use") | |
| audio = gr.File(label="Audio", info="Filepath of video/audio file to use as raw audio source") | |
| with gr.Column(): | |
| checkpoint = gr.Radio(["wav2lip", "wav2lip_gan"], label="Checkpoint", info="Name of saved checkpoint to load weights from") | |
| no_smooth = gr.Checkbox(label="No Smooth", info="Prevent smoothing face detections over a short temporal window") | |
| resize_factor = gr.Slider(minimum=1, maximum=4, step=1, label="Resize Factor", info="Reduce the resolution by this factor. Sometimes, best results are obtained at 480p or 720p") | |
| with gr.Row(): | |
| with gr.Column(): | |
| pad_top = gr.Slider(minimum=0, maximum=50, step=1, value=0, label="Pad Top", info="Padding above") | |
| pad_bottom = gr.Slider(minimum=0, maximum=50, step=1, value=10, label="Pad Bottom (Often increasing this to 20 allows chin to be included)", info="Padding below lips") | |
| pad_left = gr.Slider(minimum=0, maximum=50, step=1, value=0, label="Pad Left", info="Padding to the left of lips") | |
| pad_right = gr.Slider(minimum=0, maximum=50, step=1, value=0, label="Pad Right", info="Padding to the right of lips") | |
| generate_btn = gr.Button("Generate") | |
| with gr.Column(): | |
| result = gr.Video() | |
| def generate(video, audio, checkpoint, no_smooth, resize_factor, pad_top, pad_bottom, pad_left, pad_right): | |
| if video is None or audio is None or checkpoint is None: | |
| return | |
| smooth = "--nosmooth" if no_smooth else "" | |
| cmd = [ | |
| "python", | |
| "inference.py", | |
| "--checkpoint_path", f"checkpoints/{checkpoint}.pth", | |
| "--segmentation_path", "checkpoints/face_segmentation.pth", | |
| "--enhance_face", "gfpgan", | |
| "--face", video.name, | |
| "--audio", audio.name, | |
| "--outfile", "results/output.mp4", | |
| ] | |
| call(cmd) | |
| return "results/output.mp4" | |
| generate_btn.click( | |
| generate, | |
| [video, audio, checkpoint, pad_top, pad_bottom, pad_left, pad_right, resize_factor], | |
| result) | |
| ui.queue().launch(share=True, debug=True, inline=False) | |