From 7e83cda0b50a4e43e5dc71e1f18757e64f80a36c Mon Sep 17 00:00:00 2001
From: gbaian10 <34255899+gbaian10@users.noreply.github.com>
Date: Thu, 5 Sep 2024 09:05:10 +0800
Subject: [PATCH] docs: Correct the reference repo in the `Cloud - Setup App
 (pyproject.toml)` documents (#1607)

---
 docs/docs/cloud/deployment/setup_pyproject.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/docs/cloud/deployment/setup_pyproject.md b/docs/docs/cloud/deployment/setup_pyproject.md
index 9c68ec198..445ec0e4e 100644
--- a/docs/docs/cloud/deployment/setup_pyproject.md
+++ b/docs/docs/cloud/deployment/setup_pyproject.md
@@ -1,8 +1,8 @@
 # How to Set Up a LangGraph Application for Deployment
 
-A LangGraph application must be configured with a [LangGraph API configuration file](../reference/cli.md#configuration-file) in order to be deployed to LangGraph Cloud (or to be self-hosted). This how-to guide discusses the basic steps to setup a LangGraph application for deployment using `pyproject.toml` to define your package's dependencies. 
+A LangGraph application must be configured with a [LangGraph API configuration file](../reference/cli.md#configuration-file) in order to be deployed to LangGraph Cloud (or to be self-hosted). This how-to guide discusses the basic steps to setup a LangGraph application for deployment using `pyproject.toml` to define your package's dependencies.
 
-This walkthrough is based on [this repository](https://github.com/langchain-ai/langgraph-example), which you can play around with to learn more about how to setup your LangGraph application for deployment.
+This walkthrough is based on [this repository](https://github.com/langchain-ai/langgraph-example-pyproject), which you can play around with to learn more about how to setup your LangGraph application for deployment.
 
 !!! tip "Setup with requirements.txt"
   If you prefer using `requirements.txt` for dependency management, check out [this how-to guide](./setup.md).
@@ -34,6 +34,7 @@ After each step, an example file directory is provided to demonstrate how code c
 Dependencies can optionally be specified in one of the following files: `pyproject.toml`, `setup.py`, or `requirements.txt`. If none of these files is created, then dependencies can be specified later in the [LangGraph API configuration file](#create-langgraph-api-config).
 
 The dependencies below will be included in the image, you can also use them in your code, as long as with a compatible version range:
+
 ```
 langgraph>=0.2.7,<0.3.0
 langgraph-checkpoint>=1.0.4