[feat] add tts
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@@ -181,6 +181,9 @@ export function setDatabase(data:Database){
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if(checkNullish(data.showUnrecommended)){
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data.showUnrecommended = false
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}
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if(checkNullish(data.elevenLabKey)){
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data.elevenLabKey = ''
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}
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if(checkNullish(data.sdConfig)){
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data.sdConfig = {
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width:512,
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@@ -262,6 +265,8 @@ export interface character{
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creator?:string
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character_version?:number
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}
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ttsMode?:string
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ttsSpeech?:string
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}
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@@ -386,6 +391,7 @@ export interface Database{
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requestmet: string
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requestproxy: string
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showUnrecommended:boolean
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elevenLabKey:string
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}
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@@ -10,6 +10,7 @@ import { requestChatData } from "./request";
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import { stableDiff } from "./stableDiff";
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import { processScript, processScriptFull } from "./scripts";
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import { exampleMessage } from "./exampleMessages";
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import { sayTTS } from "./tts";
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export interface OpenAIChat{
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role: 'system'|'user'|'assistant'
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@@ -165,7 +166,7 @@ export async function sendChat(chatProcessIndex = -1):Promise<boolean> {
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}).join('\n\n')) + db.maxResponse) + 150
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let chats:OpenAIChat[] = exampleMessage(currentChar)
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chats.push({
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role: 'system',
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content: '[Start a new chat]'
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@@ -214,9 +215,6 @@ export async function sendChat(chatProcessIndex = -1):Promise<boolean> {
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currentTokens += (await tokenize(systemMsg) + 1)
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}
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console.log(currentTokens)
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console.log(maxContextTokens)
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while(currentTokens > maxContextTokens){
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if(chats.length <= 1){
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alertError(language.errors.toomuchtoken)
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@@ -228,8 +226,6 @@ export async function sendChat(chatProcessIndex = -1):Promise<boolean> {
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chats.splice(0, 1)
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}
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console.log(currentTokens)
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let bias:{[key:number]:number} = {}
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for(let i=0;i<currentChar.bias.length;i++){
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@@ -318,6 +314,7 @@ export async function sendChat(chatProcessIndex = -1):Promise<boolean> {
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data: result,
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saying: currentChar.chaId
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})
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await sayTTS(currentChar, result)
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setDatabase(db)
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}
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@@ -1,6 +1,71 @@
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export async function sayTTS(text:string) {
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const utterThis = new SpeechSynthesisUtterance(text);
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const voices = speechSynthesis.getVoices();
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utterThis.voice = voices[0]
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speechSynthesis.speak(utterThis)
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import { get } from "svelte/store";
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import { alertError } from "../alert";
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import { DataBase, type character } from "../database";
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export async function sayTTS(character:character,text:string) {
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let db = get(DataBase)
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switch(character.ttsMode){
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case "webspeech":{
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if(speechSynthesis && SpeechSynthesisUtterance){
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const utterThis = new SpeechSynthesisUtterance(text);
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const voices = speechSynthesis.getVoices();
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let voiceIndex = 0
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for(let i=0;i<voices.length;i++){
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if(voices[i].name === character.ttsSpeech){
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voiceIndex = i
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}
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}
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utterThis.voice = voices[voiceIndex]
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speechSynthesis.speak(utterThis)
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}
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break
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}
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case "elevenlab": {
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const audioContext = new AudioContext();
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const da = await fetch(`https://api.elevenlabs.io/v1/text-to-speech/${character.ttsSpeech}`, {
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body: JSON.stringify({
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text: text
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}),
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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'xi-api-key': db.elevenLabKey || undefined
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}
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})
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if(da.status >= 200 && da.status < 300){
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const audioBuffer = await audioContext.decodeAudioData(await da.arrayBuffer())
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const sourceNode = audioContext.createBufferSource();
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sourceNode.buffer = audioBuffer;
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sourceNode.connect(audioContext.destination);
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sourceNode.start();
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}
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else{
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alertError(await da.text())
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}
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}
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}
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}
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export function getWebSpeechTTSVoices() {
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return speechSynthesis.getVoices().map(v => {
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return v.name
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})
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}
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export async function getElevenTTSVoices() {
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let db = get(DataBase)
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const data = await fetch('https://api.elevenlabs.io/v1/voices', {
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headers: {
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'xi-api-key': db.elevenLabKey || undefined
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}
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})
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const res = await data.json()
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console.log(res)
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return res.voices
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}
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