#!/usr/bin/env python from __future__ import annotations import gradio as gr from model import Model DESCRIPTION = '# [StyleGAN-Human](https://github.com/stylegan-human/StyleGAN-Human)' model = Model() with gr.Blocks(css='style.css') as demo: gr.Markdown(DESCRIPTION) with gr.Row(): with gr.Column(): with gr.Row(): seed1 = gr.Number(label='Seed 1', value=6876) psi1 = gr.Slider(label='Truncation psi 1', minimum=0, maximum=2, step=0.05, value=0.7) with gr.Row(): generate_button1 = gr.Button('Generate') with gr.Row(): generated_image1 = gr.Image(label='Generated Image 1', type='numpy', height=600) with gr.Column(): with gr.Row(): seed2 = gr.Number(label='Seed 2', value=6886) psi2 = gr.Slider(label='Truncation psi 2', minimum=0, maximum=2, step=0.05, value=0.7) with gr.Row(): generate_button2 = gr.Button('Generate') with gr.Row(): generated_image2 = gr.Image(label='Generated Image 2', type='numpy', height=600) with gr.Row(): with gr.Column(): with gr.Row(): num_frames = gr.Slider(label='Number of Intermediate Frames', minimum=0, maximum=41, step=1, value=7) with gr.Row(): interpolate_button = gr.Button('Interpolate') with gr.Row(): interpolated_images = gr.Gallery(label='Output Images', object_fit='scale-down') generate_button1.click(model.generate_single_image, inputs=[ seed1, psi1, ], outputs=generated_image1) generate_button2.click(model.generate_single_image, inputs=[ seed2, psi2, ], outputs=generated_image2) interpolate_button.click(model.generate_interpolated_images, inputs=[ seed1, psi1, seed2, psi2, num_frames, ], outputs=interpolated_images) demo.queue(max_size=10).launch()