Once we've set up a data source connection and built a custom machine learning model specific to your database, it'll be your turn to build your custom conversational user interface. We've developed flexible front end widgets to make this process seamless and simple. You're welcome to customize and use our widgets however you like -- all components are MIT licensed and open source -- or build freely on top of our API.
All our UI widgets are included in one library. Once installed, each individual widget can be imported separately, as needed. Toggle between the tabs (below) to view the unique libraries.
# using npm $ npm install react-autoql@<<reactVersion>> # using yarn $ yarn add react-autoql@<<reactVersion>> # or add them to your package.json "react-autoql": "<<reactVersion>>"
# using npm $ npm install autoql@<<vanillaVersion>> # using yarn $ yarn add autoql@<<vanillaVersion>> # or add them to your package.json "autoql": "<<vanillaVersion>>"
<head> <script src="https://cdn.chata.io/autoql/v<<vanillaVersion>>/autoql-min.js"></script> </head>
# Add the following to your podfile pod 'chata'
Install from source from https://github.com/chatatechnologies/android-autoql or see the Android Data Messenger guide for more options
Full version history of the widgets distributed with NPM can be found on their respective NPM pages, linked below.
All modern browsers are supported. However, support for voice-to-text is currently only available in Google Chrome.
Voice-to-text button is supported in Google Chrome only and will fail silently in other browsers.
For more information on these requirements or to learn how to retrieve/refresh your token, please visit the security section of our docs.
Updated over 2 years ago