<h2>Overview:</h2>
<p>Gradio is an open-source Python library used to build machine learning and data science demos and web applications. It allows users to create a beautiful user interface around their machine learning models or data science workflows and enables others to interact with the demo through the browser by dragging-and-dropping images, pasting text, recording voice, and more. Gradio is useful for demoing machine learning models, deploying models with automatic shareable links, and debugging models interactively during development.</p>
<h2>Features:</h2>
<ul>
<li><strong>Build Interactive Apps</strong>: Gradio allows users to build demos and share them in Python with just a few lines of code.</li>
<li><strong>Drag-and-Drop Functionality</strong>: Users can interact with the demo by dragging and dropping images, pasting text, or recording their own voice.</li>
<li><strong>Automatic Shareable Links</strong>: Models can be deployed quickly with automatic shareable links, making it easy to share and gather feedback on model performance.</li>
<li><strong>Built-in Manipulation and Interpretation Tools</strong>: Gradio provides built-in manipulation and interpretation tools for interactive debugging of models during development.</li>
</ul>


Gradio App

Gradio