Gradio: Build & share delightful machine learning apps

[amotl]

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

• https://www.gradio.app/
• https://github.com/gradio-app/gradio

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, reading sys.summits cratedb-examples#507
• Tutorial-like article in the CrateDB Guide, or, alternatively, on the Community Forum.
• A badge on the build status page.