app.py

#!/usr/bin/env python

from __future__ import annotations

import argparse

import gradio as gr
from huggingface_hub import hf_hub_download

from model import Model

DESCRIPTION = '''# StyleGAN-Human

This is an unofficial demo for [https://github.com/stylegan-human/StyleGAN-Human](https://github.com/stylegan-human/StyleGAN-Human).
'''
FOOTER = '<img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.glitch.me/badge?page_id=gradio-blocks.stylegan-human" />'


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser()
    parser.add_argument('--device', type=str, default='cpu')
    parser.add_argument('--theme', type=str)
    parser.add_argument('--share', action='store_true')
    parser.add_argument('--port', type=int)
    parser.add_argument('--disable-queue',
                        dest='enable_queue',
                        action='store_false')
    return parser.parse_args()


def main():
    args = parse_args()
    app = Model(device=args.device)

    with gr.Blocks(theme=args.theme, css='style.css') as demo:
        gr.Markdown(DESCRIPTION)

        with gr.Row():
            with gr.Column():
                with gr.Row():
                    seed1 = gr.Number(value=6876, label='Seed 1')
                    psi1 = gr.Slider(0,
                                     2,
                                     value=0.7,
                                     step=0.05,
                                     label='Truncation psi 1')
                with gr.Row():
                    generate_button1 = gr.Button('Generate')
                with gr.Row():
                    generated_image1 = gr.Image(type='numpy',
                                                label='Generated Image 1')

            with gr.Column():
                with gr.Row():
                    seed2 = gr.Number(value=6886, label='Seed 2')
                    psi2 = gr.Slider(0,
                                     2,
                                     value=0.7,
                                     step=0.05,
                                     label='Truncation psi 2')
                with gr.Row():
                    generate_button2 = gr.Button('Generate')
                with gr.Row():
                    generated_image2 = gr.Image(type='numpy',
                                                label='Generated Image 2')

        with gr.Row():
            with gr.Column():
                with gr.Row():
                    num_frames = gr.Slider(
                        0,
                        41,
                        value=7,
                        step=1,
                        label='Number of Intermediate Frames')
                with gr.Row():
                    interpolate_button = gr.Button('Interpolate')
                with gr.Row():
                    interpolated_images = gr.Gallery(label='Output Images')

        gr.Markdown(FOOTER)

        generate_button1.click(app.generate_single_image,
                               inputs=[seed1, psi1],
                               outputs=generated_image1)
        generate_button2.click(app.generate_single_image,
                               inputs=[seed2, psi2],
                               outputs=generated_image2)
        interpolate_button.click(app.generate_interpolated_images,
                                 inputs=[seed1, psi1, seed2, psi2, num_frames],
                                 outputs=interpolated_images)

    demo.launch(
        enable_queue=args.enable_queue,
        server_port=args.port,
        share=args.share,
    )


if __name__ == '__main__':
    main()