Dialogflow lets you build conversational interfaces on top of your products and services by providing a powerful natural language understanding (NLU) engine to process and understand natural language input
This is a unofficial Web client for Dialogflow, it was built, to support Google Assistant rich-responses and to make the most out of the Platform available to Web
- 100% Progressive Web App, following Google's Material guidlines
- Customizable environment
- Works offline and without JavaScript
- Responsive design
- Contains Search Engine Optimization
- Based on VueJS with Webpack & Live Reload
- WebSpeech API for voice input
- Text-To-Speech output
- Perfect accessibility for disabled users
- NodeJS
- NPM or Yarn
- Basic knowledge in ES6 (JavaScript)
- Dialogflow API Key (You can get it here)
- Basic reply (is being displayed and spoken)
- Simple Response (is being spoken)
- Cards
- Carousel Cards
- Lists
- Suggestions Chips
- Link chips
- Combination of all above
- Fancy animations and visual feedback
- Widget mode, for more info see https://github.com/MishUshakov/dialogflow-widget
- Googling unknown requests
You can use git or download it directly from github
Open your cloned folder. Then, using your favorite package manager get the dependencies
Example using npm
npm install
Example using yarn
yarn
Open your cloned folder. Then, using your favorite package manager run dev
command
Example using npm
npm run dev
Example using yarn
yarn dev
When you done these steps, your default browser should open and redirect you to localhost:8080
. If the port 8080 is already in use, you can give an port
argument to connect at specified port
Example using npm
npm run dev --port 9090
Example using yarn
yarn dev --port 9090
PLEASE DO NOT USE THE DEVELOPMENT SERVER FOR SERVING YOUR APP, DEVELOPMENT SERVER IS MEANT FOR THE DEVELOPMENT. INSTEAD PLEASE UPLOAD BUILD ARTIFACTS TO A STATIC WEB-SERVER
Your app will be bundled to dist/build.js
To build it you can use npm or yarn
Example using npm
npm run build
Example using yarn
yarn build
To connect your bot, you first need to create one. You can do it by visiting Dialogflow website. Then create your intents and add Google Assistant responses
Open config.js
and change the token
variable, to connect your bot. You can also translate the strings to your language
Example
export default {
app: {
token: "9d686a47b1de48bab431e94750d1cd87"
}
}
if you want to change the accent color open src/App.sass
and change the $color
variable
- Q: I changed the token and the responses are the same as with previous token
- A: Make sure you have cleaned your cache and rebuilt your app. In Safari go to "Develop" > "Empty Caches". In Chrome: "Developer Tools" > "Application" > "Clear storage" > "Clear site data"