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| <h1 class="text-4xl md:text-6xl font-bold text-gray-900 mb-6">Build & Share Delightful Machine Learning Apps</h1> |
| <p class="text-xl text-gray-600 mb-10 max-w-2xl mx-auto"> |
| Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! |
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| <a href="/docs.html" class="bg-indigo-600 hover:bg-indigo-700 text-white px-6 py-3 rounded-md font-medium">Get Started</a> |
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| <h2 class="text-3xl font-bold text-gray-900 mb-4">Why Gradio?</h2> |
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| Gradio makes it easy for you to build and share your machine learning models. |
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| <div class="text-indigo-600 text-2xl mb-4">🚀</div> |
| <h3 class="font-bold text-lg mb-2">Fast to Set Up</h3> |
| <p class="text-gray-600">Create a working demo of your ML model in just a few lines of code.</p> |
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| <div class="text-indigo-600 text-2xl mb-4">🔗</div> |
| <h3 class="font-bold text-lg mb-2">Shareable</h3> |
| <p class="text-gray-600">Get a shareable link or embed your demo directly in your website.</p> |
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| <div class="text-indigo-600 text-2xl mb-4">🎨</div> |
| <h3 class="font-bold text-lg mb-2">Customizable</h3> |
| <p class="text-gray-600">Fully customize the look and feel of your demo with themes and components.</p> |
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| <h2 class="text-3xl font-bold text-gray-900 mb-4">Quick Start</h2> |
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| Get started with Gradio in just a few lines of code. |
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| <pre class="text-gray-200 overflow-x-auto"> |
| <code>pip install gradio |
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| import gradio as gr |
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| def greet(name): |
| return "Hello " + name + "!" |
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| demo = gr.Interface(fn=greet, inputs="text", outputs="text") |
| demo.launch()</code> |
| </pre> |
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