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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](https://github.com/microsoft/StyleSwin)" |
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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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![sample images]({url})""" |
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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, value=model.MODEL_NAMES[3], label="Model") |
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seed = gr.Slider(0, np.iinfo(np.uint32).max, step=1, value=0, 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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[ |
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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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) |
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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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run_button.click(fn=model.set_model_and_generate_image, inputs=[model_name, seed], outputs=result, api_name="run") |
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model_name2.change(fn=get_sample_image_markdown, inputs=model_name2, outputs=sample_images) |
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if __name__ == "__main__": |
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demo.queue(max_size=15).launch() |
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