Build conversational interfaces for the browser.
Wisty.js is a JavaScript natural language processing library to build contextual chatbots or virtual assistants on the web.
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Powered by machine learning thanks to TensorFlow.js.
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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.
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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 wistyimport * 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-nodeconst 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/[email protected]/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.
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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.
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Restaurant : A chatbot taking orders for a restaurant.
- Implemented from scratch with Vue.js 3 and Vite.
Documentation
For the moment, only the API reference is available on GitHub Pages.
License
Wisty.js is licensed under the MIT license.