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Update index.html
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index.html
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<!DOCTYPE html>
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<html>
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<head>
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</head>
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<body>
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<!DOCTYPE html>
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<html>
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<head>
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<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto&display=swap" >
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<style>
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body {
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font-family: 'Roboto', sans-serif;
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font-size: 16px;
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}
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.logo {
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height: 1em;
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vertical-align: middle;
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margin-bottom: 0.1em;
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}
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</style>
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<script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/[email protected]/dist/lite.js"></script>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/[email protected]/dist/lite.css" />
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</head>
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<body>
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<h2>
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<img src="lite-logo.png" alt="logo" class="logo">
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Gradio-lite (Gradio running entirely in your browser!)
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</h2>
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<p>Try it out! Once the Gradio app loads (can take 10-15 seconds), disconnect your Wifi and the machine learning model will still work!</p>
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<gradio-lite>
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<gradio-requirements>
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transformers_js_py
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</gradio-requirements>
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<gradio-file name="app.py" entrypoint>
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from transformers_js import import_transformers_js
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import gradio as gr
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transformers = await import_transformers_js()
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pipeline = transformers.pipeline
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pipe = await pipeline(text-generation', 'Xenova/distilgpt2')
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async def classify(text):
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return await pipe(text)
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demo = gr.Interface(classify, "textbox", "json", examples=["It's a happy day in the neighborhood", "I'm an evil penguin", "It wasn't a bad film."])
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demo.launch()
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</gradio-file>
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</gradio-lite>
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</body>
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</html>
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