content.raw: JOURNEY TO 1 MILLION DEVELOPERS
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content.value: JOURNEY TO 1 MILLION DEVELOPERS
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content.raw: 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. 
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content.value: 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. 
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content.raw: 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.
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content.value: 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.
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content.raw: 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:
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content.value: 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:
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content.raw: 1. Invest in good primitives, not high-level abstractions
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content.value: 1. Invest in good primitives, not high-level abstractions
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content.raw: 2. Embed virality directly into your library
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content.value: 2. Embed virality directly into your library
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content.raw: 3. Focus on a (growing) niche
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content.value: 3. Focus on a (growing) niche
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content.raw: 4. Your only roadmap should be rapid iteration
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content.value: 4. Your only roadmap should be rapid iteration
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content.raw: 5. Maximize ways users can consume your library's outputs
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content.value: 5. Maximize ways users can consume your library's outputs
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content.raw: 1. Invest in good primitives, not high-level abstractions
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content.value: 1. Invest in good primitives, not high-level abstractions
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content.raw: 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:
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content.value: 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:
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content.raw: Read the rest here: 
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content.value: Read the rest here: 
content.href: https://x.com/abidlabs/status/1907886
content.raw: https://x.com/abidlabs/status/1907886
content.type: link
rawContent: 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
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