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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 = "# [Projected GAN](https://github.com/autonomousvision/projected_gan)" | |
| def get_sample_image_url(name: str) -> str: | |
| sample_image_dir = "https://huggingface.co/spaces/hysts/projected_gan/resolve/main/samples" | |
| return f"{sample_image_dir}/{name}.jpg" | |
| def get_sample_image_markdown(name: str) -> str: | |
| url = get_sample_image_url(name) | |
| return f""" | |
| - size: 256x256 | |
| - seed: 0-99 | |
| - truncation: 0.7 | |
| """ | |
| 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(label="Model", choices=model.MODEL_NAMES, value=model.MODEL_NAMES[8]) | |
| seed = gr.Slider(label="Seed", minimum=0, maximum=np.iinfo(np.uint32).max, step=1, value=0) | |
| psi = gr.Slider(label="Truncation psi", minimum=0, maximum=2, step=0.05, value=0.7) | |
| run_button = gr.Button() | |
| with gr.Column(): | |
| result = gr.Image(label="Result") | |
| with gr.TabItem("Sample Images"): | |
| with gr.Row(): | |
| model_name2 = gr.Dropdown(label="Model", choices=model.MODEL_NAMES, value=model.MODEL_NAMES[0]) | |
| 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, | |
| psi, | |
| ], | |
| outputs=result, | |
| api_name="run", | |
| ) | |
| model_name2.change( | |
| fn=get_sample_image_markdown, | |
| inputs=model_name2, | |
| outputs=sample_images, | |
| queue=False, | |
| api_name=False, | |
| ) | |
| if __name__ == "__main__": | |
| demo.queue(max_size=10).launch() | |