Gradio 6 released with faster performance for creating machine learning apps in Python

Gradio 6 released with faster performance for creating machine learning apps in Python

Gradio 6 has been released, offering a new version of the platform that enables users to create web interfaces for machine learning models in Python. This update delivers substantial gains in performance, a smaller package footprint, and simplified customization compared to previous releases.

Alongside these improvements, Gradio 6 introduces several breaking changes resulting from efforts to standardize the Python API. Developers planning to upgrade should review migration steps to ensure compatibility with existing projects. While the new release focuses on core improvements, it also fundamentally changes how developers can build interactive applications: custom web components in pure HTML and JavaScript can now be written inline in Python, with no requirement for external build tools or frameworks.

Following this release, only Gradio 6 will receive ongoing support. The development team strongly encourages migration to the 6.x series. For a seamless upgrade, developers can run the pip install --upgrade gradio command to access the latest version.

by Paul

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Gradio.app provides a rapid solution for showcasing machine learning models through an intuitive web interface, allowing universal access and usability. It offers an ad-free experience with no tracking and doesn't require user registration. Gradio.app's key alternatives include Streamlit, Dash, and Flask, which also facilitate the deployment of machine learning models with varying features and capabilities.

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