app.py

import os
import shutil
from huggingface_hub import snapshot_download
import gradio as gr
os.chdir(os.path.dirname(os.path.abspath(__file__)))
from scripts.inference import inference_process
import argparse
import uuid

hallo_dir = snapshot_download(repo_id="fudan-generative-ai/hallo", local_dir="pretrained_models")
is_shared_ui = True if "multimodalart/hallo" in os.environ['SPACE_ID'] else False

def run_inference(source_image, driving_audio, progress=gr.Progress(track_tqdm=True)):
    if is_shared_ui:
        raise gr.Error("This Space only works in duplicated instances")
        
    unique_id = uuid.uuid4()
    
    args = argparse.Namespace(
        config='configs/inference/default.yaml',
        source_image=source_image,
        driving_audio=driving_audio,
        output=f'output-{unique_id}.mp4',
        pose_weight=1.0,
        face_weight=1.0,
        lip_weight=1.0,
        face_expand_ratio=1.2,
        checkpoint=None
    )
    
    inference_process(args)
    return f'output-{unique_id}.mp4' 


css = '''
div#warning-ready {
    background-color: #ecfdf5;
    padding: 0 16px 16px;
    margin: 20px 0;
    color: #030303!important;
}
div#warning-ready > .gr-prose > h2, div#warning-ready > .gr-prose > p {
    color: #057857!important;
}
div#warning-duplicate {
    background-color: #ebf5ff;
    padding: 0 16px 16px;
    margin: 20px 0;
    color: #030303!important;
}
div#warning-duplicate > .gr-prose > h2, div#warning-duplicate > .gr-prose > p {
    color: #0f4592!important;
}
div#warning-duplicate strong {
    color: #0f4592;
}
p.actions {
    display: flex;
    align-items: center;
    margin: 20px 0;
}
div#warning-duplicate .actions a {
    display: inline-block;
    margin-right: 10px;
}
'''
with gr.Blocks(css=css) as demo:
    if is_shared_ui:
        top_description = gr.HTML(f'''
            <div class="gr-prose">
                <h2 class="custom-color"><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
                Attention: this Space need to be duplicated to work</h2>
                <p class="main-message custom-color">
                    To make it work, <strong>duplicate the Space</strong> and run it on your own profile using a <strong>private</strong> GPU.<br />
                    An L4 costs <strong>US$0.80/h</strong>, so it should cost ~US$0.08 to generate 10s of talking head avatar.
                </p>
                <p class="actions custom-color">
                    <a href="https://huggingface.co./spaces/{os.environ['SPACE_ID']}?duplicate=true">
                        <img src="https://huggingface.co./datasets/huggingface/badges/resolve/main/duplicate-this-space-lg-dark.svg" alt="Duplicate this Space" />
                    </a>
                    to start generate your talking head
                </p>
            </div>
        ''', elem_id="warning-duplicate")
    gr.Markdown("# Demo for Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation")
    gr.Markdown("Generate talking head avatars driven from audio. **every 10 seconds of generation takes ~1 minute** - duplicate the space for private use or try for free on Google Colab")
    with gr.Row():
        with gr.Column():
            avatar_face = gr.Image(type="filepath", label="Face")
            driving_audio = gr.Audio(type="filepath", label="Driving audio")
            generate = gr.Button("Generate")
        with gr.Column():
            output_video = gr.Video(label="Your talking head")

    generate.click(
        fn=run_inference,
        intputs=[avatar_face, driving_audio],
        outputs=output_video
    )
    
demo.launch()