https://github.com/hwchase17/langchain-streamlit-template

https://github.com/hwchase17/langchain-streamlit-template

Last synced: 7 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/hwchase17/langchain-streamlit-template
• Owner: hwchase17
• Created: 2023-01-09T04:28:41.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2025-01-11T03:25:35.000Z (about 1 month ago)
• Last Synced: 2025-01-28T13:16:05.715Z (14 days ago)
• Language: Python
• Size: 2.93 KB
• Stars: 272
• Watchers: 5
• Forks: 137
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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• awesome-langchain-zh - Streamlit Template - streamlit-template?style=social): 如何在 Streamlit 上部署 LangChain 的模板 (工具 / 模板)
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README

        
# LangChain-Streamlit Template

This repo serves as a template for how to deploy a [LangGraph](https://langchain-ai.github.io/langgraph/) agent on Streamlit.

This repo contains an `main.py` file which has a template for a chatbot implementation.

## Adding your chain

To add your chain, you need to change the `load_chain` function in `main.py`.

Depending on the type of your chain, you may also need to change the inputs/outputs that occur later on.

## Run locally

After installing dependencies with e.g. `$ pip install -r requirements.txt`, you can run this project locally with the following command:

```sh

$ streamlit run main.py

```

## Deploy on Streamlit

This is easily deployable on the Streamlit platform.

Note that when setting up your Streamlit app you should make sure to add `OPENAI_API_KEY` as a secret environment variable.

## Setting up LangSmith

To quickly spot issues and improve the performance of your LangGraph projects, sign up for [LangSmith](https://docs.smith.langchain.com/). LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started [here](https://docs.smith.langchain.com/).