import gradio as gr
import subprocess

def execute_command(command: str) -> None:
    subprocess.run(command, check=True)

def infer():

    output_name = "acknowledgement_english@M030_front_neutral_level1_001@male_face"

    command = [
        f"python",
        f"inference_for_demo_video.py",
        f"--wav_path=data/audio/acknowledgement_english.m4a",
        f"--style_clip_path=data/style_clip/3DMM/M030_front_neutral_level1_001.mat",
        f"--pose_path=data/pose/RichardShelby_front_neutral_level1_001.mat",
        f"--image_path=data/src_img/uncropped/male_face.png",
        f"--cfg_scale=1.0",
        f"--max_gen_len=30",
        f"--output_name={output_name}"
    ]

    execute_command(command)

    return f"output_video/{output_name}.mp4"

with gr.Blocks() as demo:
    with gr.Column():
        with gr.Row():
            with gr.Column():
                run_btn = gr.Button("Run")
            with gr.Column():
                output_video = gr.Video()
    
    run_btn.click(
        fn = infer,
        inputs = [],
        outputs = [output_video]
    )

demo.launch()