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from __future__ import annotations |
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import gradio as gr |
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import numpy as np |
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from model import Model |
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DESCRIPTION = '''# StyleSwin |
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This is an unofficial demo for [https://github.com/microsoft/StyleSwin](https://github.com/microsoft/StyleSwin). |
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''' |
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def get_sample_image_url(name: str) -> str: |
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sample_image_dir = 'https://huggingface.co/spaces/hysts/StyleSwin/resolve/main/samples' |
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return f'{sample_image_dir}/{name}.jpg' |
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def get_sample_image_markdown(name: str) -> str: |
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url = get_sample_image_url(name) |
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if name == 'celeba-hq': |
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size = 1024 |
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elif name == 'ffhq': |
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size = 1024 |
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elif name == 'lsun-church': |
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size = 256 |
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else: |
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raise ValueError |
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seed = '0-99' |
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return f''' |
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- size: {size}x{size} |
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- seed: {seed} |
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''' |
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model = Model() |
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with gr.Blocks(css='style.css') as demo: |
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gr.Markdown(DESCRIPTION) |
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with gr.Tabs(): |
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with gr.TabItem('App'): |
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with gr.Row(): |
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with gr.Column(): |
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model_name = gr.Dropdown(model.MODEL_NAMES, |
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value=model.MODEL_NAMES[3], |
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label='Model') |
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seed = gr.Slider(0, |
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np.iinfo(np.uint32).max, |
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step=1, |
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value=0, |
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label='Seed') |
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run_button = gr.Button('Run') |
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with gr.Column(): |
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result = gr.Image(label='Result', elem_id='result') |
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with gr.TabItem('Sample Images'): |
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with gr.Row(): |
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model_name2 = gr.Dropdown([ |
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'celeba-hq', |
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'ffhq', |
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'lsun-church', |
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], |
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value='celeba-hq', |
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label='Model') |
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with gr.Row(): |
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text = get_sample_image_markdown(model_name2.value) |
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sample_images = gr.Markdown(text) |
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model_name.change(fn=model.set_model, inputs=model_name, outputs=None) |
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run_button.click(fn=model.set_model_and_generate_image, |
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inputs=[ |
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model_name, |
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seed, |
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], |
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outputs=result) |
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model_name2.change(fn=get_sample_image_markdown, |
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inputs=model_name2, |
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outputs=sample_images) |
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demo.queue().launch(show_api=False) |
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