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@nlux/hf-react

The Hugging Face adapters for nlux React, the React JS library for building conversational AI interfaces.


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NLUX React Hugging Face Adapter

Free And Open Source Docs https://docs.nlkit.com/nlux

This package enables the integration between NLUX and Hugging Face, the AI models platform.
More specifically ― the package include the adapter to connect to chat models hosted and exposed via Hugging Face Inference Endpoints.

For more information on how to use this package, please visit:
docs.nlkit.com/nlux/reference/adapters/hugging-face

Vanilla JS 🟨 vs React JS ⚛️

This package @nlux/hf-react is meant for use with the React JS version of NLUX. If you're looking for the vanilla JS version, please check the @nlux/hf package.

About NLUX

NLUX (for Natural Language User Experience) is an open-source JavaScript library that makes it simple to integrate powerful large language models (LLMs) like ChatGPT into your web app or website. With just a few lines of code, you can add conversational AI capabilities and interact with your favorite LLM.

Key Features 🌟

  • Build AI Chat Interfaces In Minutes ― High quality conversational AI interfaces with just a few lines of code.
  • React Components & Hooks ― <AiChat /> for UI and useChatAdapter hook for easy integration.
  • LLM Adapters ― For ChatGPT / LangChain 🦜 LangServe / HuggingFace 🤗 Inference.
  • A flexible interface to Create Your Own Adapter for any LLM or API.
  • Assistant and User Personas ― Customize the assistant and user personas with names, images, and more.
  • Streaming LLM Output ― Stream the chat response to the UI as it's being generated.
  • Customizable Theme - Easily customize the look and feel of the chat interface using CSS variables.
  • Event Listeners - Listen to messages, errors, and other events to customize the UI and behaviour.
  • Zero Dependencies ― Lightweight codebase, with zero-dep except for LLM front-end libraries.

Docs & Examples 📖

For developer documentation, examples, and API reference ― you can visit: docs.nlkit.com/nlux

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Package last updated on 08 Jul 2024

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