Gradio is joining Hugging Face! By acquiring Gradio, a machine learning startup, Hugging Face will find a way to supply users, developers, and data scientists the tools needed to get to high level results and create higher models and tools…
Hmm, paragraphs about acquisitions just like the one above are so common that an algorithm could write them. In
fact, one did!! This primary paragraph was written with the Acquisition Post Generator, a machine learning demo on Hugging Face Spaces. You’ll be able to run it yourself in your browser: provide the names of any two corporations and you may get a reasonable-sounding begin to an article announcing their acquisition!
The Acquisition Post Generator was built using our open-source Gradio library — it’s just one in all our recent collaborations with Hugging Face. And I’m excited to announce that these collaborations are culminating in… 🥁 Hugging Face’s acquisition of Gradio (so yes, that first paragraph may need been written by
an algorithm however it’s true!)
As one in all the founders of Gradio, I could not be more excited in regards to the next step in our journey. I still remember clearly how we began in 2019: as a PhD student at Stanford, I struggled to share a medical computer vision model with one in all my collaborators, who was a health care provider. I needed him to check my machine learning model, but he didn’t know Python and couldn’t easily run the model on his own images. I envisioned a tool that would make it super easy for machine learning engineers to construct and share demos of computer vision models, which in turn would lead to raised feedback and more reliable models 🔁
I recruited my talented housemates Ali Abdalla, Ali Abid, and Dawood Khan to release the primary version of Gradio in 2019. We steadily expanded to cover more areas of machine learning including text, speech, and video. We found that it wasn’t just researchers who needed to share machine learning models: interdisciplinary teams in industry, from startups to public corporations, were constructing models and needed to debug them internally or showcase them externally. Gradio could help with each. Since we first released the library, greater than 300,000 demos have been built with Gradio. We couldn’t have done this without our community of contributors, our supportive investors, and the amazing Ahsen Khaliq who joined our company this yr.
Demos and GUIs built with Gradio give the facility of machine learning to an increasing number of people because they permit non-technical users to access, use, and provides feedback on models. And our acquisition by Hugging Face is the subsequent step on this ongoing journey of accessibility. Hugging Face has already radically democratized machine learning in order that any software engineer can use state-of-the-art models with a couple of lines of code. By working along with Hugging Face, we’re taking this even further in order that machine learning is accessible to literally anyone with an online connection and a browser. With Hugging Face, we’re going to continue to grow Gradio and make it the very best technique to share your machine learning model with anyone, anywhere 🚀
Along with the shared mission of Gradio and Hugging Face, what delights me is the team that we’re joining. Hugging Face’s remarkable culture of openness and innovation is well-known. Over the past few months, I’ve gotten to know the founders as well: they’re wonderful individuals who genuinely care about each person at Hugging Face and are willing to go to bat for them. On behalf of the whole Gradio team, we couldn’t be more thrilled to be working with them to construct the longer term of machine learning 🤗
Also: we’re hiring!! ❤️
