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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta charset="utf-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1"> |
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<title>Gradio-Lite: Serverless Gradio Running Entirely in Your Browser</title> |
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<meta name="description" content="Gradio-Lite: Serverless Gradio Running Entirely in Your Browser"> |
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<script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script> |
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.css" /> |
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<style> |
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html, body { |
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margin: 0; |
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padding: 0; |
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height: 100%; |
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} |
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</style> |
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</head> |
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<body> |
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<gradio-lite> |
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<gradio-file name="app.py" entrypoint> |
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import gradio as gr |
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from transformers_js_py import pipeline |
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pipe = await pipeline('image-classification', 'Xenova/vit-base-patch16-224') |
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demo = gr.Interface.from_pipeline(pipe) |
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demo.launch() |
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</gradio-file> |
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<gradio-file name="filters.py"> |
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from skimage.color import rgb2gray |
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def as_gray(image): |
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return rgb2gray(image) |
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</gradio-file> |
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<gradio-file name="lion.jpg" url="https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/lion.jpg" /> |
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<gradio-file name="logo.png" url="https://raw.githubusercontent.com/gradio-app/gradio/main/guides/assets/logo.png" /> |
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<gradio-requirements> |
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# Same syntax as requirements.txt |
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transformers-js-py |
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</gradio-requirements> |
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</gradio-lite> |
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</body> |
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</html> |
