From 8f83a1162cc1ec844d0c7016ff811557d98daa3c Mon Sep 17 00:00:00 2001 From: Abubakar Abid Date: Tue, 17 Sep 2019 11:05:54 -0700 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 143d0e4e1e..49c38feb73 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,5 @@ +[![CircleCI](https://circleci.com/gh/gradio-app/gradio-UI.svg?style=svg)](https://circleci.com/gh/gradio-app/gradio) + # About Gradio Gradio reduces the amount of data that a company needs to collect and label in order to build high-performing artificial intelligent systems. @@ -10,7 +12,6 @@ This is achieved through: (1) identifying and correcting mislabelled data; (2) # Gradio UI Tool -[![CircleCI](https://circleci.com/gh/gradio-app/gradio-UI.svg?style=svg)](https://circleci.com/gh/gradio-app/gradio) As part of our work, we often try to understand what inputs that a model is particularly sensitive to. To help facilitate this, we've developed and open-sourced `gradio`, a python library that allows you to easily create input and output interfaces over trained models to make it easy for you to "play around" with your model in your browser by dragging-and-dropping in your own images (or pasting your own text, recording your own voice, etc.) and seeing what the model outputs. The library also automatically creates a shareable, public link to your model so you can share the interface with others (e.g. your client, your advisor, or your dad), who can use the model without writing any code.