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"""
This script is a gradio web ui.
The script takes an image and an audio clip, and lets you configure all the
variables such as cfg_scale, pose_weight, face_weight, lip_weight, etc.
Usage:
This script can be run from the command line with the following command:
python scripts/app.py
"""
import argparse
import gradio as gr
from inference import inference_process
def predict(image, audio, pose_weight, face_weight, lip_weight, face_expand_ratio, progress=gr.Progress(track_tqdm=True)):
"""
Create a gradio interface with the configs.
"""
_ = progress
config = {
'source_image': image,
'driving_audio': audio,
'pose_weight': pose_weight,
'face_weight': face_weight,
'lip_weight': lip_weight,
'face_expand_ratio': face_expand_ratio,
'config': 'configs/inference/default.yaml',
'checkpoint': None,
'output': ".cache/output.mp4"
}
args = argparse.Namespace()
for key, value in config.items():
setattr(args, key, value)
return inference_process(args)
app = gr.Interface(
fn=predict,
inputs=[
gr.Image(label="source image (no webp)", type="filepath", format="jpeg"),
gr.Audio(label="source audio", type="filepath"),
gr.Number(label="pose weight", value=1.0),
gr.Number(label="face weight", value=1.0),
gr.Number(label="lip weight", value=1.0),
gr.Number(label="face expand ratio", value=1.2),
],
outputs=[gr.Video()],
)
app.launch()
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