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Description
About
- Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project.
- Gradio can be embedded in Python notebooks or presented as a webpage.
- Once you've created an interface, you can permanently host it on Hugging Face.
Details
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere.
Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. You can then share a link to your demo or web application in just a few seconds using Gradio's built-in sharing features. No JavaScript, CSS, or web hosting experience needed!
Resources
Backlog
The canonical procedure to present new tech of any sorts together with CrateDB, when aiming to join the enumeration of others.
- An info card about the relevant technology in the CrateDB Ecosystem Catalog.
Framework: Add items about programming frameworks Gradio and Streamlit #132 - Working-code snippets at cratedb-examples, including software tests, and a quick README.
Framework/Gradio: Add basic example about Gradio, readingsys.summitscratedb-examples#507 - A badge on the build status page.
- Tutorial-like article in the CrateDB Guide, or, alternatively, on the Community Forum.
- Upstream documentation patch for https://www.gradio.app/guides/connecting-to-a-database.