app.py

import gradio as gr
import subprocess
import os

def run_talkshow_model(audio_file):
    # Path to the TalkSHOW demo script
    demo_script = 'scripts/demo.py'
    
    # Configuration and model parameters
    config_file = './config/LS3DCG.json'
    body_model_name = 's2g_LS3DCG'
    body_model_path = 'experiments/2022-10-19-smplx_S2G-LS3DCG/ckpt-99.pth'
    
    # Temporary path to store the uploaded audio file
    audio_file_path = './demo_audio/uploaded_audio.wav'
    
    # Save the uploaded audio file to the expected location
    audio_file.save(audio_file_path)
    
    # Run the demo.py script with the necessary arguments
    command = [
        'python', demo_script,
        '--config_file', config_file,
        '--infer',
        '--audio_file', audio_file_path,
        '--body_model_name', body_model_name,
        '--body_model_path', body_model_path,
        '--id', '0'
    ]
    
    # Run the subprocess and capture any output
    try:
        subprocess.run(command, check=True)
        return "Mesh generated successfully!"
    except subprocess.CalledProcessError as e:
        return f"Error running the model: {str(e)}"

# Set up the Gradio interface
interface = gr.Interface(
    fn=run_ttalkshow_model, 
    inputs=gr.Audio(source="upload", type="filepath"), 
    outputs="text",
    title="TalkSHOW: Audio to Mesh"
)

# Launch the interface
interface.launch()