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LokeshJonnakuti

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liked a model 3 days ago

John6666/Llama-3.1-8B-Lexi-Uncensored-V2-nf4

reacted to abidlabs's post with ❤️ 4 days ago

JOURNEY TO 1 MILLION DEVELOPERS 5 years ago, we launched Gradio as a simple Python library to let researchers at Stanford easily demo computer vision models with a web interface. Today, Gradio is used by >1 million developers each month to build and share AI web apps. This includes some of the most popular open-source projects of all time, like Automatic1111, Fooocus, Oobabooga’s Text WebUI, Dall-E Mini, and LLaMA-Factory. How did we get here? How did Gradio keep growing in the very crowded field of open-source Python libraries? I get this question a lot from folks who are building their own open-source libraries. This post distills some of the lessons that I have learned over the past few years: 1. Invest in good primitives, not high-level abstractions 2. Embed virality directly into your library 3. Focus on a (growing) niche 4. Your only roadmap should be rapid iteration 5. Maximize ways users can consume your library's outputs 1. Invest in good primitives, not high-level abstractions When we first launched Gradio, we offered only one high-level class (gr.Interface), which created a complete web app from a single Python function. We quickly realized that developers wanted to create other kinds of apps (e.g. multi-step workflows, chatbots, streaming applications), but as we started listing out the apps users wanted to build, we realized what we needed to do: Read the rest here: https://x.com/abidlabs/status/1907886

upvoted an article 4 days ago

Journey to 1 Million Gradio Users!

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