From 3624ed20f92b99138a0ec92e09fd3e094dcd1f8a Mon Sep 17 00:00:00 2001
From: Xiaoyue Lin <36526527+100gle@users.noreply.github.com>
Date: Sun, 23 Jun 2024 22:27:48 +0800
Subject: [PATCH] docs: Fix pydanti to pydantic

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0aebe1c6..5d265336 100644
--- a/README.md
+++ b/README.md
@@ -248,7 +248,7 @@ scraped_data = app.scrape_url(url)
 
 ### Extracting structured data from a URL
 
-With LLM extraction, you can easily extract structured data from any URL. We support pydanti schemas to make it easier for you too. Here is how you to use it:
+With LLM extraction, you can easily extract structured data from any URL. We support pydantic schemas to make it easier for you too. Here is how you to use it:
 
 ```python
 class ArticleSchema(BaseModel):