Wisty NPM | npm.io

Wisty.js is a JavaScript natural language processing library to build contextual chatbots or virtual assistants on the web.

Powered by machine learning thanks to TensorFlow.js.
Supports training and inference in Node.js and most browsers : you can integrate a bot into your front-end without having to rely on some infrastructure or a cloud service.
It reduces the amount of hardcoded logic you have to write : new features are just a few training dialogs away.

Status

The project is in alpha : the API is unstable as new feature keeps being added.

Installation

$ npm install wisty

import * as wisty from 'wisty';

wisty.tools.parseStories(...);

If you intend to run Wisty on Node.js, then the TensorFlow C Backend can speeds up your bot :

$ npm install @tensorflow/tfjs-node

const tf = require('@tensorflow/tfjs-node');
const wisty = require('wisty');

You can also use CDNs :

<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
<!--
    If you intend to use Universal Sentence Encoder model :
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder"></script>

    If you attend to parse WistyML Training files :
    <script src="commonmark.min.js"></script>
    (see https://github.com/commonmark/commonmark.js)
-->

<script src="https://cdn.jsdelivr.net/npm/wisty@0.0.8/dist/index.umd.min.js"></script>

As the API is currently unstable, it is recommended to use a fixed version.

Demos

You can find open source demos of chatbots running with Wisty.js in the demos folder.

Passwords : An assistant trying to help you identify yourself on a web site if you have troubles logging in.
- The implementation is quick and dirty JavaScript in the HTML and a customized style for BotUI.
Restaurant : A chatbot taking orders for a restaurant.
- Implemented from scratch with Vue.js 3 and Vite.