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from __future__ import annotations |
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import pathlib |
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import gradio as gr |
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from model import Model |
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DESCRIPTION = '''# [HairCLIP](https://github.com/wty-ustc/HairCLIP) |
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<center><img id="teaser" src="https://raw.githubusercontent.com/wty-ustc/HairCLIP/main/assets/teaser.png" alt="teaser"></center> |
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''' |
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def load_hairstyle_list() -> list[str]: |
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with open('HairCLIP/mapper/hairstyle_list.txt') as f: |
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lines = [line.strip() for line in f.readlines()] |
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lines = [line[:-10] for line in lines] |
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return lines |
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def set_example_image(example: list) -> dict: |
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return gr.Image.update(value=example[0]) |
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def update_step2_components(choice: str) -> tuple[dict, dict]: |
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return ( |
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gr.Dropdown.update(visible=choice in ['hairstyle', 'both']), |
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gr.Textbox.update(visible=choice in ['color', 'both']), |
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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.Box(): |
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gr.Markdown('## Step 1') |
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with gr.Row(): |
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with gr.Column(): |
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with gr.Row(): |
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input_image = gr.Image(label='Input Image', |
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type='filepath') |
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with gr.Row(): |
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preprocess_button = gr.Button('Preprocess') |
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with gr.Column(): |
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aligned_face = gr.Image(label='Aligned Face', |
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type='pil', |
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interactive=False) |
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with gr.Column(): |
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reconstructed_face = gr.Image(label='Reconstructed Face', |
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type='numpy') |
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latent = gr.Variable() |
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with gr.Row(): |
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paths = sorted(pathlib.Path('images').glob('*.jpg')) |
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gr.Examples(examples=[[path.as_posix()] for path in paths], |
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inputs=input_image) |
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with gr.Box(): |
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gr.Markdown('## Step 2') |
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with gr.Row(): |
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with gr.Column(): |
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with gr.Row(): |
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editing_type = gr.Radio( |
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label='Editing Type', |
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choices=['hairstyle', 'color', 'both'], |
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value='both', |
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type='value') |
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with gr.Row(): |
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hairstyles = load_hairstyle_list() |
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hairstyle_index = gr.Dropdown(label='Hairstyle', |
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choices=hairstyles, |
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value='afro', |
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type='index') |
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with gr.Row(): |
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color_description = gr.Textbox(label='Color', value='red') |
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with gr.Row(): |
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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') |
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preprocess_button.click(fn=model.detect_and_align_face, |
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inputs=input_image, |
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outputs=aligned_face) |
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aligned_face.change(fn=model.reconstruct_face, |
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inputs=aligned_face, |
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outputs=[reconstructed_face, latent]) |
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editing_type.change(fn=update_step2_components, |
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inputs=editing_type, |
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outputs=[hairstyle_index, color_description]) |
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run_button.click(fn=model.generate, |
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inputs=[ |
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editing_type, |
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hairstyle_index, |
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color_description, |
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latent, |
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], |
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outputs=result) |
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demo.queue(max_size=10).launch() |
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