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#!/usr/bin/env python
from __future__ import annotations
import gradio as gr
import numpy as np
from model import Model
DESCRIPTION = '# [StyleSwin](https://github.com/microsoft/StyleSwin)'
def get_sample_image_url(name: str) -> str:
sample_image_dir = 'https://huggingface.co/spaces/hysts/StyleSwin/resolve/main/samples'
return f'{sample_image_dir}/{name}.jpg'
def get_sample_image_markdown(name: str) -> str:
url = get_sample_image_url(name)
if name == 'celeba-hq':
size = 1024
elif name == 'ffhq':
size = 1024
elif name == 'lsun-church':
size = 256
else:
raise ValueError
seed = '0-99'
return f'''
- size: {size}x{size}
- seed: {seed}
'''
model = Model()
with gr.Blocks(css='style.css') as demo:
gr.Markdown(DESCRIPTION)
with gr.Tabs():
with gr.TabItem('App'):
with gr.Row():
with gr.Column():
model_name = gr.Dropdown(model.MODEL_NAMES,
value=model.MODEL_NAMES[3],
label='Model')
seed = gr.Slider(0,
np.iinfo(np.uint32).max,
step=1,
value=0,
label='Seed')
run_button = gr.Button('Run')
with gr.Column():
result = gr.Image(label='Result', elem_id='result')
with gr.TabItem('Sample Images'):
with gr.Row():
model_name2 = gr.Dropdown([
'celeba-hq',
'ffhq',
'lsun-church',
],
value='celeba-hq',
label='Model')
with gr.Row():
text = get_sample_image_markdown(model_name2.value)
sample_images = gr.Markdown(text)
run_button.click(fn=model.set_model_and_generate_image,
inputs=[model_name, seed],
outputs=result,
api_name='run')
model_name2.change(fn=get_sample_image_markdown,
inputs=model_name2,
outputs=sample_images)
demo.queue(max_size=15).launch()
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