feat(web app): prevent from sending utterance while Leon is generating answer

app/src/js/client.js

@@ -18,6 +18,7 @@ export default class Client {
     this._suggestions = []
     this._answerGenerationId = 'xxx'
     this._ttsAudioContext = null
+    this._isLeonGeneratingAnswer = false
     // this._ttsAudioContextes = {}
   }
 
@@ -78,6 +79,9 @@ export default class Client {
     })
 
     this.socket.on('answer', (data) => {
+      // Leon has finished to answer
+      this._isLeonGeneratingAnswer = false
+
       /**
        * Just save the bubble if the newest bubble is from the streaming.
        * Otherwise, create a new bubble
@@ -124,6 +128,7 @@ export default class Client {
     })
 
     this.socket.on('llm-token', (data) => {
+      this._isLeonGeneratingAnswer = true
       const previousGenerationId = this._answerGenerationId
       const newGenerationId = data.generationId
       this._answerGenerationId = newGenerationId
@@ -244,6 +249,11 @@ export default class Client {
   }
 
   send(keyword) {
+    // Prevent from sending utterance if Leon is still generating text (stream)
+    if (keyword === 'utterance' && this._isLeonGeneratingAnswer) {
+      return false
+    }
+
     if (this._input.value !== '') {
       this.socket.emit(keyword, {
         client: this.client,

core/skills-endpoints.json

@@ -185,11 +185,6 @@
       "params": ["todos", "list"],
       "entitiesType": "trim"
     },
-    {
-      "method": "GET",
-      "route": "/api/action/unknown/widget-playground/run",
-      "params": []
-    },
     {
       "method": "GET",
       "route": "/api/action/social_communication/conversation/setup",
@@ -215,6 +210,11 @@
       "route": "/api/action/social_communication/mbti/quiz",
       "params": []
     },
+    {
+      "method": "GET",
+      "route": "/api/action/unknown/widget-playground/run",
+      "params": []
+    },
     {
       "method": "GET",
       "route": "/api/action/utilities/date_time/current_date_time",

scripts/train/train-llm-actions-classifier.js

@@ -5,6 +5,7 @@ import { LLM_ACTIONS_CLASSIFIER_PATH } from '@/constants'
 import { LogHelper } from '@/helpers/log-helper'
 import { SkillDomainHelper } from '@/helpers/skill-domain-helper'
 
+// TODO: need to handle multi languages
 const LANG = 'en'
 
 /**