Add VITS support

package.json

@@ -64,6 +64,7 @@
     "tippy.js": "^6.3.7",
     "uuid": "^9.0.1",
     "wasmoon": "^1.15.1",
+    "wavefile": "^11.0.0",
     "web-streams-polyfill": "^3.2.1"
   },
   "devDependencies": {

pnpm-lock.yaml

@@ -155,6 +155,9 @@ dependencies:
   wasmoon:
     specifier: ^1.15.1
     version: 1.15.1
+  wavefile:
+    specifier: ^11.0.0
+    version: 11.0.0
   web-streams-polyfill:
     specifier: ^3.2.1
     version: 3.2.1
@@ -5675,6 +5678,12 @@ packages:
       '@types/emscripten': 1.39.9
     dev: false
 
+  /wavefile@11.0.0:
+    resolution: {integrity: sha512-/OBiAALgWU24IG7sC84cDO/KfFuvajWc5Uec0oV2zrpOOZZDgGdOwHwgEzOrwh8jkubBk7PtZfQBIcI1OaE5Ng==}
+    engines: {node: '>=8'}
+    hasBin: true
+    dev: false
+
   /web-streams-polyfill@3.2.1:
     resolution: {integrity: sha512-e0MO3wdXWKrLbL0DgGnUV7WHVuw9OUvL4hjgnPkIeEvESk74gAITi5G606JtZPp39cd8HA9VQzCIvA49LpPN5Q==}
     engines: {node: '>= 8'}

src/lib/SideBars/CharConfig.svelte

@@ -526,6 +526,7 @@
             <OptionInput value="openai">OpenAI</OptionInput>
             <OptionInput value="novelai">NovelAI</OptionInput>
             <OptionInput value="huggingface">Huggingface</OptionInput>
+            <OptionInput value="vits">VITS</OptionInput>
         </SelectInput>
         
 
@@ -625,12 +626,7 @@
             <span class="text-textcolor">Language</span>
             <TextInput additionalClass="mb-4 mt-2" bind:value={currentChar.data.hfTTS.language} placeholder="en" />
         {/if}
-        {#if currentChar.data.ttsMode === 'webspeech' ||
+        {#if currentChar.data.ttsMode}
-            currentChar.data.ttsMode === 'elevenlab' ||
-            currentChar.data.ttsMode === 'VOICEVOX' ||
-            currentChar.data.ttsMode === 'huggingface' ||
-            currentChar.data.ttsMode === 'openai' ||
-            currentChar.data.ttsMode === 'novelai'}
             <div class="flex items-center mt-2">
                 <Check bind:check={currentChar.data.ttsReadOnlyQuoted} name={language.ttsReadOnlyQuoted}/>
             </div>

src/ts/process/embedding/transformers.ts

@@ -1,11 +1,11 @@
-import transformers, { AutoTokenizer, pipeline, type SummarizationOutput } from '@xenova/transformers';
+import {env, AutoTokenizer, pipeline, VitsModel, type SummarizationOutput, type TextGenerationConfig, type TextGenerationOutput, FeatureExtractionPipeline, TextToAudioPipeline } from '@xenova/transformers';
 
-transformers.env.localModelPath = "https://sv.risuai.xyz/transformers/"
+env.localModelPath = "https://sv.risuai.xyz/transformers/"
 
-export const runTransformers = async (baseText:string, model:string,config:transformers.TextGenerationConfig = {}) => {
+export const runTransformers = async (baseText:string, model:string,config:TextGenerationConfig = {}) => {
     let text = baseText
     let generator = await pipeline('text-generation', model);
-    let output = await generator(text, config) as transformers.TextGenerationOutput
+    let output = await generator(text, config) as TextGenerationOutput
     const outputOne = output[0]
     return outputOne
 }
@@ -16,7 +16,7 @@ export const runSummarizer = async (text: string) => {
     return v[0].summary_text
 }
 
-let extractor:transformers.FeatureExtractionPipeline = null
+let extractor:FeatureExtractionPipeline = null
 export const runEmbedding = async (text: string):Promise<Float32Array> => {
     if(!extractor){
         extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');
@@ -59,9 +59,22 @@ export const runEmbedding = async (text: string):Promise<Float32Array> => {
     return (result?.data as Float32Array) ?? null;
 }
 
-export const runTTS = async (text: string) => {
+let synthesizer:TextToAudioPipeline = null
-    let speaker_embeddings = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin';
+let lastSynth:string = null
-    let synthesizer = await pipeline('text-to-speech', 'Xenova/speecht5_tts', { local_files_only: true });
+export const runVITS = async (text: string, model:string = 'Xenova/mms-tts-eng') => {
-    let out = await synthesizer(text, { speaker_embeddings });
+    const {WaveFile} = await import('wavefile')
-    return out
+    if((!synthesizer) || (lastSynth !== model)){
+        lastSynth = model
+        synthesizer = await pipeline('text-to-speech', model);
+    }
+    let out = await synthesizer(text, {});
+    const wav = new WaveFile();
+    wav.fromScratch(1, out.sampling_rate, '32f', out.audio);
+    const audioContext = new AudioContext();
+    audioContext.decodeAudioData(wav.toBuffer().buffer, (decodedData) => {
+        const sourceNode = audioContext.createBufferSource();
+        sourceNode.buffer = decodedData;
+        sourceNode.connect(audioContext.destination);
+        sourceNode.start();
+    });
 }

src/ts/process/tts.ts

@@ -5,6 +5,7 @@ import { runTranslator, translateVox } from "../translator/translator";
 import { globalFetch } from "../storage/globalApi";
 import { language } from "src/lang";
 import { getCurrentCharacter, sleep } from "../util";
+import { runVITS } from "./embedding/transformers";
 
 let sourceNode:AudioBufferSourceNode = null
 
@@ -221,6 +222,9 @@ export async function sayTTS(character:character,text:string) {
                 return
             }
         }
+        case 'vits':{
+            await runVITS(text)
+        }
     }
 }