Updated October 25, 2026
| Field | Details |
|---|---|
| Name | Gradio |
| Overview | Gradio is an innovative AI tool designed to enable users to effortlessly create and showcase their machine learning models through an intuitive web interface. It supports various interface types. Apps can run on your own infrastructure or on Hugging Face Spaces; Gradio’s temporary share server tunnels to a running local app rather than permanently hosting its model. A basic interface needs only a small amount of Python, but implementing and operating the underlying model still requires appropriate technical setup. Gradio also provides public share links for remote interactions. Current documentation says these expire after one week and require the local app to remain running; do not expose sensitive data or privileged functions through a public demo. |
| Key features & benefits |
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| Use cases and applications |
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| Who uses? | Data scientists, Developers, Researchers |
| Pricing | Gradio is an open-source Python library under the Apache-2.0 licence, not a free-versus-premium Gradio subscription described by this article. The current Hugging Face overview requires a paid plan to create compute-backed Gradio or Docker Spaces, with an exception for up to two ZeroGPU Gradio Spaces on eligible free personal accounts. CPU Basic has no hourly charge, but that does not remove the plan requirement. Hardware upgrades, external model APIs and other infrastructure can cost extra. |
| Tags | AI tool, ML model demo, Web interface, Developer tools |
| App available? | Gradio is a Python package for building browser-based apps, not simply an absent mobile app. Current documentation also supports configuring an app as an installable progressive web app; this does not make every Gradio demo a native App Store application. |
Sources: Official Gradio interface and deployment overview · Temporary links, hosted apps and PWA configuration · Official open-source repository and licence · Hugging Face Spaces hosting scope
Historical image: The existing Gradio homepage shows a collage of demonstrations and an older GitHub star count. It is an interface-identification image, not a newly generated result or evidence that all pictured characters and demo assets are licensed for reuse.
