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@linto-ai/linto-web-client

v1.1.1

Published

LinTO by LINAGORA is now available on your webpage ! Wow !

Downloads

15

Readme

linto-web-client

Release note

v1.1.0 : Breaking change, chatbot now uses new transaction mode. Answers are packed in a specific key

About

A full figured LinTO client designed for building custom voice interactions on a webpage.

See demo here : linto.ai

Note : LinTO Web client relies on WebVoiceSDK for handling everything related to audio input, hotword triggers, recordings... See LinTO WebVoiceSDK on NPM for more informations

Note : Any LinTO web client needs to have a token registered towards a LinTO server. See more information in LinTO's official documentation

Note : This library might cause issues (crashes) on your webpage as some browser's implementation of WebAssembly runtimes is still experimental

Usage

With bundler :

npm i @linto.ai/linto-web-client

Static script from CDN :

<script src="https://cdn.jsdelivr.net/gh/linto-ai/linto-web-client@master/dist/linto.min.js"></script>

Test right away :

  • Tweak content in tests/index.js (your token, LinTO server endpoint etc)
npm run test

instanciante

try {
  window.linto = await new Linto(
    `${My_linto_stack_domain}/overwatch/local/web/login`,
    `${my_app_token}`,
    `${ms_timeout_delay_for_commands}`
  );
} catch (lintoError) {
  // handle the error
}

Handling errors

This command might throw an error if something bad occurs

Instance user methods

- startAudioAcquisition(true, "linto", 0.99) // Uses hotword built in WebVoiceSDK by name / model / threshold
- startCommandPipeline() // Start to listen to hotwords and binds a publisher for acquired audio when speaking stop
- stopCommandPipeline()
- startStreamingPipeline() // Start to listen to hotwords and binds streaming start/stop event when audio acquired
- stopStreamingPipeline() 
- triggerHotword(dummyHotwordName = "dummy") // Manualy activate a hotword detection, use it when commandPipeline is active.
- pauseAudioAcquisition()
- resumeAudioAcquisition()
- stopAudioAcquisition()
- startStreaming(metadata = 1) // Tries to initiate a streaming transcription session with your LinTO server. The LinTO server needs a streaming skill and a streaming STT service
- addEventNlp() // Bind the event nlp to handle only linto answer
- removeEventNlp()
- stopStreaming()
- login() // Main startup command to initiate connexion towards your LinTO server
- loggout()
- startHotword()
- stopHotword()
- sendCommandText("blahblah") // Use chatbot pipeline 
- sendWidgetText("blahblah") // Publish text to linto (bypass transcribe) 
- triggerAction(payload, skillName, eventName) // Publish payload to the desired skill/event
- say("blahblah") // Use browser text to speech
- ask("blahblah ?") // Uses browser text to speech and immediatly triggers hotword when audiosynthesis is complete
- stopSpeech() // Stop linto current speech

Instance events

Use events with :

linto.addEventListener("event_name", customHandlingFunction);

Available events :

  • "mqtt_connect"
  • "mqtt_connect_fail"
  • "mqtt_error"
  • "mqtt_disconnect"
  • "speaking_on"
  • "speaking_off"
  • "command_acquired"
  • "command_published"
  • "command_timeout"
  • "hotword_on"
  • "say_feedback_from_skill"
  • "ask_feedback_from_skill"
  • "streaming_start"
  • "streaming_stop"
  • "streaming_chunk"
  • "streaming_final"
  • "streaming_fail"
  • "action_acquired"
  • "action_published"
  • "action_feedback"
  • "action_error"
  • "text_acquired"
  • "text_published"
  • "chatbot_acquired"
  • "chatbot_published"
  • "chatbot_feedback"
  • "chatbot_error"
  • "custom_action_from_skill"

NOTE : See proposed implementation in ./tests/index.js

linto-web-client Widget

Building sources

npm install
npm run build-widget

Those commands will build linto.widget.min.js file in the /dist folder

Using library

Import linto.widget.min.js file to your web page. Once it's done, you can create a new Widget() object and set custom parameters.

<script type="text/javascript" src="YOUR_PATH/linto.widget.min.js"></script>
<script type="text/javascript">
window.widget = new Widget({
    debug: false,
    containerId: CONTAINER_BLOCK_HTML_ID,
    lintoWebToken: LINTO_APPLICATION_TOKEN,
    lintoWebHost: LINTO_APPLICATION_HOST,
    widgetMode: WIDGET_MODE, 
    transactionMode: TRANSCTION_MODE
})
</script>

Parameters

| Parameter | type | values | description | | ---------- | ---------- | ---------- | ---------- | | debug | boolean | true / false | enable or disable console informations when events are triggered | | containerId | string | "div-wrapper-id" | ID of the block that will contain the widget |` | lintoWebHost | string | "https://my-host.com" | Url of the host where the application is deployed | | lintoWebToken | string | "yourToken" | Authorization token to connect the application | | widgetMode | string | "multi-modal" (default) / "minimal-streamin" | Set the widget mode | | transactionMode | string | "skills_and_chatbot" / "chatbot_only" | Use "skills_and_chatbot" to publish on "nlp" mqtt channel. Use "chatbot_only" to publish on "chatbot" mqtt channel| | hotwordValue | string | "linto" | Value of the hotword. Change it if you use an other hotword model than "linto" | | streamingStopWord | string | "stop" | Set stop-word for streaming "infinite" mode | | lintoCustomEvents | array of objects | {"flag": "event_name": func: function(){} } | Bind custom functions to events | | widgetMicAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget microphone animation" | | widgetThinkAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget thinking animation" | | widgetSleepAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget sleeping animation" | | widgetTalkAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget talking animation" | | widgetAwakeAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget awaken animation" | | widgetErrorAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget error animation" | | widgetValidateAnimation | string | "/path/to/animationfile.json" | Set a custom animation file for "widget validation animation" | | widgetTitle | string | "LinTO Widget" | Widget Title value | | cssPrimarycolor | string | "#59bbeb" | Value of the widget primary color (default = "#59bbeb") | | cssSecondaryColor | string | "#055e89" | Value of the widget secondary color (default = "#055e89") |

Testing

You can try the library localy by running the following command:

npm run test-widget

You can change widget parameteres for your tests by updating parameters in the following file: /tests/widget/index.js

Custom handlers

To set custom handlers on events, you can write your own functions and attach it to the widget events. Here is an example:


const myCustomFunction = (event) => {
  console.log('Here is the code')
}
window.widget = new Widget({
    ...,
    lintoCustomEvents: [{
      flag: 'my_custom_event', 
      func: (event) => {
        myCustomFunction(event)
      }
    }]
})

Work with your own wakeup-word model

As mentionned before, “linto-web-client” bundler works with “webVoiceSdk”. If you want to use your own wakeup-word model, you’ll have to clone both repositories and update “linto-web-client” package.json as following:

Cloning repositories

#Cloning repositories
cd /your/local/repo
git clone [email protected]:linto-ai/WebVoiceSDK.git
git clone [email protected]:linto-ai/linto-web-client.git

Update package.json

cd /linto-web-client
nano package.json

Update “@linto-ai/webvoicesdk” devDependencie path

#package.json
{
	...,
	"devDependencies": {
		"@linto-ai/webvoicesdk": "../WebVoiceSDK",
		...
	}
}