From da148358b8964922b55638190f226d4c2ac12ec3 Mon Sep 17 00:00:00 2001
From: dnth <dickson.neoh@gmail.com>
Date: Fri, 25 Oct 2024 13:01:34 +0800
Subject: [PATCH] update

---
 README.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index a8c0f3f..189c60f 100644
--- a/README.md
+++ b/README.md
@@ -41,11 +41,12 @@
 <!-- If you'd like to run many models from different libraries without having to rewrite your inference code, x.infer is for you. It has a simple API and is easy to extend.  -->
 So, a new computer vision model just dropped last night. It's called `GPT-54o-mini-vision-pro-max-xxxl`. It's a super cool model, open-source, open-weights, open-data, all the good stuff.
 
-You're excited. You want to try it out. But it's written in a new framework, `TyPorch`, that you know nothing about.
+You're excited. You want to try it out. 
 
+But it's written in a new framework, `TyPorch`, that you know nothing about.
 You don't want to spend a week learning `TyPorch` just to find out the model is not what you expected.
 
-This is where x.infer comes in. It's a simple library that allows you to run any computer vision model in just a few lines of code. All in Python.
+This is where x.infer comes in. It's a simple library that allows you to run inference with any computer vision model in just a few lines of code. All in Python.
 
 Out of the box, x.infer supports the following frameworks: