2
calculator
🔥
Abubakar Abid
abidlabs
AI & ML interests
self-supervised learning, applications to medicine & biology, interpretation, reproducibility
Recent Activity
updated
a Space
1 day ago
gradio/calculator
published
an
article
2 days ago
17 Reasons Why Gradio Isn't Just Another UI Library
updated
a Space
3 days ago
abidlabs/login-multi
Organizations
abidlabs's activity
updated
a
Space
1 day ago
published
an
article
2 days ago
Article
17 Reasons Why Gradio Isn't Just Another UI Library
By
and 1 other
•
•
5
updated
a
Space
3 days ago
published
2
Spaces
3 days ago
liked
a
Space
3 days ago
liked
a
dataset
3 days ago
Very cool! + Feature Request
1
#1 opened 6 days ago
by
abidlabs
updated
a
Space
8 days ago
published
a
Space
8 days ago
liked
a
Space
9 days ago
updated
a
Space
10 days ago
meta-llama/Llama-4-Scout-17B-16E
6
3
#404 opened 12 days ago
by
Iki007
published
a
Space
10 days ago
updated
a
Space
13 days ago
published
a
Space
13 days ago
reacted to
clem's
post with 🤗
14 days ago
Post
1331
Now in Enterprise Hub organizations, you can centralize your billing not only for HF usage but also inference through our inference partners.
Will prevent some headaches for your finance & accounting teams haha (so feel free to share that with them).
Will prevent some headaches for your finance & accounting teams haha (so feel free to share that with them).
- 3 replies
updated
a
dataset
14 days ago
published
an
article
14 days ago
Article
Journey to 1 Million Gradio Users!
By
•
•
14
posted
an
update
14 days ago
Post
3370
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
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