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#!/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,
)
if __name__ == "__main__":
demo.queue(max_size=10).launch()
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