Gradio, the startup behind the popular open-source library for building machine learning demos, is joining Hugging Face. The acquisition aims to make machine learning accessible to anyone with a web browser.
Gradio was founded in 2019 by a group of Stanford PhD students who wanted to simplify sharing computer vision models with non-technical collaborators. The library quickly grew to support text, speech, and video, and has since been used to create over 300,000 demos.
"Hugging Face has already radically democratized machine learning so that any software engineer can use state-of-the-art models with a few lines of code. By working together, we're taking this even further so that machine learning is accessible to literally anyone with an internet connection," said Gradio co-founder.
The acquisition aligns with the shared mission of both companies: to make machine learning more accessible. Gradio will continue to grow under Hugging Face, becoming the go-to tool for sharing ML models with the world.
In a playful nod to the announcement, the team used an AI-generated acquisition announcement post, built with Gradio itself, to kick off the news.