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import os |
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import warnings |
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from pathlib import Path |
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import gradio as gr |
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from deoldify import device |
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from deoldify.device_id import DeviceId |
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from deoldify.visualize import get_image_colorizer |
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from huggingface_hub import snapshot_download |
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os.system("pip freeze") |
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warnings.filterwarnings("ignore", category=UserWarning, message=".*?Your .*? set is empty.*?") |
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device.set(device=DeviceId.CPU) |
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REPO_ID = "leonelhs/deoldify" |
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snapshot_folder = snapshot_download(repo_id=REPO_ID) |
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device.set(device=DeviceId.GPU0) |
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colorizer = get_image_colorizer(root_folder=Path(snapshot_folder), artistic=True) |
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def predict(image): |
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return colorizer.get_transformed_image(image, render_factor=35, watermarked=False) |
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title = "DeOldify" |
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description = r""" |
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## Colorize image |
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This is an implementation of <a href='https://github.com/jantic/DeOldify' target='_blank'>DeOldify</a>. |
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It has no any particular purpose than start research on AI models. |
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""" |
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article = r""" |
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Questions, doubts, comments, please email 📧 `[email protected]` |
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This demo is running on a CPU, if you like this project please make us a donation to run on a GPU or just give us a <a href='https://github.com/jantic/DeOldify' target='_blank'>Github ⭐</a> |
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<a href="https://www.buymeacoffee.com/leonelhs"><img src="https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=leonelhs&button_colour=FFDD00&font_colour=000000&font_family=Cookie&outline_colour=000000&coffee_colour=ffffff" /></a> |
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<center><img src='https://visitor-badge.glitch.me/badge?page_id=deoldify.visitor-badge' alt='visitor badge'></center> |
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""" |
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demo = gr.Interface( |
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predict, [ |
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gr.Image(type="filepath", label="Image gray scale"), |
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], [ |
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gr.Image(type="pil", label="Image color") |
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], |
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title=title, |
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description=description, |
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article=article) |
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demo.queue().launch() |
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