Spaces:
Runtime error
Runtime error
# Deployments | |
So you've made a really cool chain - now what? How do you deploy it and make it easily sharable with the world? | |
This section covers several options for that. | |
Note that these are meant as quick deployment options for prototypes and demos, and not for production systems. | |
If you are looking for help with deployment of a production system, please contact us directly. | |
What follows is a list of template GitHub repositories aimed that are intended to be | |
very easy to fork and modify to use your chain. | |
This is far from an exhaustive list of options, and we are EXTREMELY open to contributions here. | |
## [Streamlit](https://github.com/hwchase17/langchain-streamlit-template) | |
This repo serves as a template for how to deploy a LangChain with Streamlit. | |
It implements a chatbot interface. | |
It also contains instructions for how to deploy this app on the Streamlit platform. | |
## [Gradio (on Hugging Face)](https://github.com/hwchase17/langchain-gradio-template) | |
This repo serves as a template for how deploy a LangChain with Gradio. | |
It implements a chatbot interface, with a "Bring-Your-Own-Token" approach (nice for not wracking up big bills). | |
It also contains instructions for how to deploy this app on the Hugging Face platform. | |
This is heavily influenced by James Weaver's [excellent examples](https://huggingface.co/JavaFXpert). | |
## [Beam](https://github.com/slai-labs/get-beam/tree/main/examples/langchain-question-answering) | |
This repo serves as a template for how deploy a LangChain with [Beam](https://beam.cloud). | |
It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API. | |
## [Vercel](https://github.com/homanp/vercel-langchain) | |
A minimal example on how to run LangChain on Vercel using Flask. | |
## [SteamShip](https://github.com/steamship-core/steamship-langchain/) | |
This repository contains LangChain adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship. | |
This includes: production ready endpoints, horizontal scaling across dependencies, persistant storage of app state, multi-tenancy support, etc. | |