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Hugging FaceAbubakar AbidAnnouncement
Gradio is joining Hugging Face!
Summary
Hugging Face has acquired Gradio, the open-source machine learning library designed for building and sharing interactive model interfaces. Gradio originated in 2019 when its founder struggled to share a medical computer vision model with a physician collaborator who did not write Python. Co-founded alongside Ali Abdalla, Ali Abid, and Dawood Khan, the project expanded from computer vision into text, speech, and video modalities. Over 300,000 demos have been built using Gradio, allowing interdisciplinary industry teams and researchers to debug models internally and showcase them externally to non-technical users. The acquisition unites Gradio with Hugging Face to broaden browser-based machine learning accessibility and expand hiring efforts across the joint team.
Context
In 2019, a Stanford PhD student struggled to share a medical computer vision model with a physician collaborator who did not know Python and could not run the model on his own images. Machine learning practitioners lacked easy tools to let non-technical stakeholders test models, debug issues, and provide feedback.
Approach / What changed
Gradio created an open-source library allowing engineers to build graphical user interfaces for models spanning computer vision, text, speech, and video. Following collaborative projects such as the Acquisition Post Generator demo on Hugging Face Spaces, Hugging Face acquired Gradio to integrate and expand its accessibility tools.
Takeaways
Gradio was created in 2019 by Stanford housemates to help machine learning engineers share interactive model demos with non-technical collaborators who do not know Python.
The open-source Gradio library expanded from computer vision to text, speech, and video, reaching over 300,000 created demos across research and industry.
Hugging Face acquired Gradio to advance model accessibility, enabling users with an internet connection and a web browser to test, debug, and provide feedback on machine learning models.
Source and freshness
- Source
- huggingface.co
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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