Skip to content

Commit

Permalink
Update readme
Browse files Browse the repository at this point in the history
  • Loading branch information
adamelliotfields authored Sep 1, 2024
1 parent d1238bf commit 64d0e33
Showing 1 changed file with 4 additions and 4 deletions.
8 changes: 4 additions & 4 deletions readme.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,15 +2,15 @@

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/adamelliotfields/chat?devcontainer_path=.devcontainer/devcontainer.json&machine=basicLinux32gb)

React chat UI for [Web LLM](https://webllm.mlc.ai) on GitHub Pages. Inspired by [Perplexity Labs](https://labs.perplexity.ai).
> [!IMPORTANT]
> No longer maintained. :cry: When I first made this, there was no UI for WebLLM. The official app at [chat.webllm.ai](https://chat.webllm.ai) is now the best UI for WebLLM and is actively maintained. Use that or one of Xenova's WebGPU [spaces](https://huggingface.co/collections/Xenova/transformersjs-demos-64f9c4f49c099d93dbc611df) instead! :llama:
React chat UI for [Web LLM](https://webllm.mlc.ai) on GitHub Pages. Built with Tailwind and Jotai. Inspired by [Perplexity Labs](https://labs.perplexity.ai).

https://github.com/adamelliotfields/chat/assets/7433025/07565763-606b-4de3-aa2d-8d5a26c83941

## Introduction

> [!NOTE]
> When I first made this, there was no UI for WebLLM. The official app at [chat.webllm.ai](https://chat.webllm.ai) is now the best UI for WebLLM and is actively maintained. Use that instead! 🦙
[Web LLM](https://github.com/mlc-ai/web-llm) is a project under the [MLC](https://mlc.ai) (machine learning compilation) organization. It allows you to run large language models in the browser using WebGPU and WebAssembly. Check out the [example](https://github.com/mlc-ai/web-llm/tree/main/examples/simple-chat) and read the [introduction](https://mlc.ai/chapter_introduction/index.html) to learn more.

In addition to [`@mlc-ai/web-llm`](https://www.npmjs.com/package/@mlc-ai/web-llm), the app uses TypeScript, React, Jotai, and Tailwind. It's built with Vite and SWC.
Expand Down

0 comments on commit 64d0e33

Please sign in to comment.