DorianandClaude Opus 4.6
010e18fbd3
- app.ts: type serveFile context parameter as Hono Context - bets.ts: replace catch(err: any) with err: unknown + narrowing - fight-loop.ts: type pickMatchup style as union literal, replace as any casts with proper result type - tts-worker.ts: import KokoroTTS type, use ProgressInfo inference Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
54 lines
1.7 KiB
TypeScript
54 lines
1.7 KiB
TypeScript
// Web Worker for Kokoro TTS — runs ONNX neural network inference off the main thread.
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// This prevents the 1-5 second freezes that occur when generate() runs on the UI thread.
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import type { KokoroTTS } from 'kokoro-js'
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let tts: KokoroTTS | null = null
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self.addEventListener('message', async (e: MessageEvent) => {
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const msg = e.data
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switch (msg.type) {
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case 'init': {
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try {
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const { KokoroTTS } = await import('kokoro-js')
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tts = await KokoroTTS.from_pretrained('onnx-community/Kokoro-82M-ONNX', {
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dtype: 'q8',
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device: null,
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progress_callback: (p) => {
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if ('progress' in p && typeof p.progress === 'number') {
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self.postMessage({ type: 'progress', progress: p.progress })
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}
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},
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})
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self.postMessage({ type: 'init-done' })
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} catch (err) {
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self.postMessage({ type: 'init-failed', error: String(err) })
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}
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break
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}
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case 'generate': {
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if (!tts) {
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self.postMessage({ type: 'generate-failed', id: msg.id, error: 'not initialized' })
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break
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}
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try {
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const result = await tts.generate(msg.text, {
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voice: msg.voice,
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speed: msg.speed,
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})
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// Copy to a standalone ArrayBuffer so we can transfer ownership (zero-copy to main thread)
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const audio = new Float32Array(result.audio)
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self.postMessage(
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{ type: 'generate-done', id: msg.id, audio, sampleRate: result.sampling_rate },
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{ transfer: [audio.buffer] },
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)
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} catch (err) {
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self.postMessage({ type: 'generate-failed', id: msg.id, error: String(err) })
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}
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break
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}
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}
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})
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