Add in-browser TTS: read war diaries aloud (Kokoro / Kitten / Web Speech)

The diary panel can now narrate entries on the user's device — fully local-first,
no audio touches the Space. A switchable TTS facade (tts.js) mirrors the LLM facade:

- ttsKokoro.js — Kokoro-82M via kokoro-js (Transformers.js/ONNX, WebGPU/WASM),
best quality, Apache-2.0, ~92MB q8 / 326MB fp32; weights from HF.
- ttsKitten.js — KittenTTS Nano 15M (~24MB) via onnxruntime-web + phonemizer,
WASM for robustness; tokenizer/voices vendored under web/kitten/.
- ttsWebSpeech.js— Web Speech API, zero download, OS voices (instant fallback).
- ttsAudio.js — one shared AudioContext, sequential sentence playback.
- tts.js — facade + makeNarrator(): streams sentence-by-sentence so the
diary narrates itself while the LLM is still writing.
- ttsBar.js — engine + voice picker + "narrate as it writes" toggle.

diaryPanel.js gains a 🔊 Read aloud / ⏹ Stop button and live auto-narration.
Reuses storage.js persist() so the voice model isn't evicted. CSS for the controls.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

web/diaryPanel.js

@@ -1,8 +1,11 @@
 // War-diary panel — vanilla DOM, mounted into #diary-stage. Streams a first-person
-// diary entry generated ON THE USER'S DEVICE via wllama (llama.cpp WASM). Shares the
-// persona styling (.persona-*), the model picker (modelBar), and tok/s stats.
+// diary entry generated ON THE USER'S DEVICE via the LLM facade, and can READ IT ALOUD
+// on the user's device too (Kokoro / Kitten / Web Speech via the TTS facade). Shares
+// the persona styling (.persona-*), the model picker, and tok/s stats.
 import { streamChat, ensureModel, currentModel } from '/web/runtime.js'
 import { mountModelBar } from '/web/modelBar.js'
+import { mountTtsBar } from '/web/ttsBar.js'
+import { makeNarrator, ensureTts } from '/web/tts.js'
 import { DIARY_SYSTEM, diaryUserPrompt, stripThink } from '/web/personaPrompts.js'
 
 function el(tag, props = {}, kids = []) {
@@ -18,30 +21,88 @@ function el(tag, props = {}, kids = []) {
 
 export function mountDiaryPanel(host) {
   const modelHost = el('div')
+  const ttsHost = el('div')
   const unit = el('input', { class: 'persona-input', type: 'text', value: 'Bram the Warrior' })
   const traits = el('input', { class: 'persona-input', type: 'text', value: 'Cautious, Veteran, Vengeful' })
   const stats = el('div', { class: 'persona-stats' })
   const status = el('div', { class: 'persona-status' }, 'Runs on your device — no cloud.')
   const btn = el('button', { class: 'persona-go', type: 'button' }, '✒ Write war diary')
-  const out = el('div', { class: 'persona-about' }, 'A first-person diary entry, written by a small llama.cpp model in your browser.')
+  const narrateBtn = el('button', { class: 'persona-go persona-go-alt', type: 'button' }, '🔊 Read aloud')
+  const ttsStatus = el('div', { class: 'persona-status tts-status' })
+  const out = el('div', { class: 'persona-about' }, 'A first-person diary entry, written by a small model in your browser — and read aloud on your device.')
 
   const controls = el('aside', { class: 'persona-controls' }, [
     modelHost,
     el('label', { class: 'persona-label' }, 'Unit'), unit,
     el('label', { class: 'persona-label' }, 'Traits'), traits,
     btn, stats, status,
+    ttsHost, narrateBtn, ttsStatus,
   ])
   const result = el('div', { class: 'persona-result' }, [out])
   host.appendChild(el('div', { class: 'persona-view' }, [controls, result]))
 
   const bar = mountModelBar(modelHost)
+  const ttsBar = mountTtsBar(ttsHost)
 
   let busy = false
+  let lastBody = '' // diary text (no header), what gets narrated
+  let narrator = null
+  let speaking = false
+
+  function setSpeaking(on) {
+    speaking = on
+    narrateBtn.textContent = on ? '⏹ Stop reading' : '🔊 Read aloud'
+  }
+  function stopNarration() { if (narrator) narrator.stop() }
+
+  // Ensure the TTS model is loaded (showing progress), then return a fresh narrator.
+  async function makeReadyNarrator() {
+    ttsStatus.textContent = 'loading voice…'
+    await ensureTts((frac) => { ttsStatus.textContent = `downloading voice… ${Math.round(frac * 100)}% (one-time)` })
+    ttsStatus.textContent = 'reading on your device…'
+    return makeNarrator({
+      onState: (s) => {
+        if (s === 'done' || s === 'stopped') {
+          setSpeaking(false)
+          ttsStatus.textContent = s === 'stopped' ? 'stopped' : 'done reading ✓'
+        }
+      },
+    })
+  }
+
+  async function readAloud() {
+    if (speaking) { stopNarration(); return }
+    if (!lastBody.trim()) { ttsStatus.textContent = 'nothing to read yet — write a diary first'; return }
+    narrateBtn.disabled = true
+    try {
+      setSpeaking(true)
+      narrator = await makeReadyNarrator()
+      narrator.push(lastBody)
+      narrator.end()
+    } catch (e) {
+      setSpeaking(false)
+      ttsStatus.textContent = `couldn't read aloud: ${e.message || e}`
+    } finally {
+      narrateBtn.disabled = false
+    }
+  }
+
   async function write() {
     if (busy) return
     busy = true; btn.disabled = true; stats.textContent = ''
+    stopNarration()
     const header = `— Diary of ${(unit.value || 'a nameless soldier').trim()} —\n\n`
     out.textContent = header
+    lastBody = ''
+
+    // If auto-narrate is on, prepare a live narrator before generation starts.
+    let live = null
+    let spokenLen = 0
+    if (ttsBar.autoNarrate()) {
+      try { setSpeaking(true); narrator = live = await makeReadyNarrator() }
+      catch (e) { setSpeaking(false); ttsStatus.textContent = `voice unavailable: ${e.message || e}` }
+    }
+
     try {
       status.textContent = `loading ${currentModel().label} into your browser…`
       await ensureModel((frac) => { status.textContent = `downloading ${currentModel().label}… ${Math.round(frac * 100)}% (one-time)` })
@@ -49,16 +110,25 @@ export function mountDiaryPanel(host) {
       let raw = ''
       await streamChat(DIARY_SYSTEM, diaryUserPrompt(unit.value, traits.value), {
         maxTokens: 220, temperature: 0.9,
-        onToken: (piece) => { raw += piece; out.textContent = header + stripThink(raw) },  // hide <think>
+        onToken: (piece) => {
+          raw += piece
+          lastBody = stripThink(raw)
+          out.textContent = header + lastBody
+          if (live) { const delta = lastBody.slice(spokenLen); if (delta) { live.push(delta); spokenLen = lastBody.length } }
+        },
         onStats: (s) => { stats.textContent = `● ${s.tokPerSec} tok/s · ${s.tokens} tok${s.ttftSeconds != null ? ` · first ${s.ttftSeconds}s` : ''}` },
       })
       status.textContent = 'written ✓ (generated locally)'
+      if (live) live.end() // flush the tail sentence; onState resets the button
       bar.refresh()
     } catch (e) {
       status.textContent = `couldn't run the local model: ${e.message || e}`
+      if (live) live.stop()
     } finally {
       busy = false; btn.disabled = false
     }
   }
+
   btn.addEventListener('click', write)
+  narrateBtn.addEventListener('click', readAloud)
 }

web/kitten/tokenizer.json

@@ -0,0 +1,235 @@
+{
+  "version": "1.0",
+  "truncation": null,
+  "padding": null,
+  "added_tokens": [],
+  "normalizer": {
+    "type": "Replace",
+    "pattern": {
+      "Regex": "[^$;:,.!?¡¿—…\"«» ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyzɑɐɒæɓʙβɔɕçɗɖðʤəɘɚɛɜɝɞɟʄɡɠɢʛɦɧħɥʜɨɪʝɭɬɫɮʟɱɯɰŋɳɲɴøɵɸθœɶʘɹɺɾɻʀʁɽʂʃʈʧʉʊʋⱱʌɣɤʍχʎʏʑʐʒʔʡʕʢǀǁǂǃˈˌːˑʼʴʰʱʲʷˠˤ˞↓↑→↗↘'̩ᵻ]"
+    },
+    "content": ""
+  },
+  "pre_tokenizer": {
+    "type": "Split",
+    "pattern": {
+      "Regex": ""
+    },
+    "behavior": "Isolated",
+    "invert": false
+  },
+  "post_processor": {
+    "type": "TemplateProcessing",
+    "single": [
+      {
+        "SpecialToken": {
+          "id": "$",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "$",
+          "type_id": 0
+        }
+      }
+    ],
+    "special_tokens": {
+      "$": {
+        "id": "$",
+        "ids": [
+          0
+        ],
+        "tokens": [
+          "$"
+        ]
+      }
+    }
+  },
+  "decoder": null,
+  "model": {
+    "vocab": {
+      "$": 0,
+      ";": 1,
+      ":": 2,
+      ",": 3,
+      ".": 4,
+      "!": 5,
+      "?": 6,
+      "\u00a1": 7,
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+      "\u2026": 10,
+      "\"": 15,
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+      "\u00bb": 13,
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+      "\u0329": 175,
+      "\u1d7b": 177
+    }
+  }
+}

web/kitten/voices.json

@@ -0,0 +1,2082 @@
+{
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web/shell/persona.css

@@ -103,6 +103,21 @@
   background: var(--p-paper-2); border: 1px solid var(--p-ink); padding: 8px 10px;
 }
 
+/* ── TTS / voice controls (war-diary read-aloud) ───────────────────────────── */
+.tts-bar { margin-top: 16px; }
+.tts-auto-row {
+  display: flex; align-items: center; gap: 6px; margin-top: 6px;
+  font-family: var(--p-mono); font-size: 10px; letter-spacing: .04em; text-transform: uppercase; color: var(--p-muted); cursor: pointer;
+}
+.tts-auto { accent-color: var(--p-transmit); width: 14px; height: 14px; }
+/* secondary (outline) button for "Read aloud" */
+.persona-go-alt {
+  margin-top: 8px; color: var(--p-ink) !important; background: var(--p-card) !important;
+  box-shadow: 2px 2px 0 var(--p-ink);
+}
+.persona-go-alt:hover { background: var(--p-paper-2) !important; color: var(--p-ink) !important; }
+.tts-status { min-height: 14px; }
+
 @media (max-width: 768px) {
   .persona-view { flex-direction: column; }
   .persona-controls { width: 100%; border-right: 0; border-bottom: 2px solid var(--p-ink); }

web/tts.js

@@ -0,0 +1,89 @@
+// TTS facade — mirrors runtime.js (the LLM facade). Picks the active TTS engine
+// (Kokoro / Kitten / Web Speech) and voice, and exposes makeNarrator(): a streaming
+// reader that speaks sentence-by-sentence so a war diary can narrate itself while the
+// LLM is still writing. Panels + the TTS bar import only from here.
+import { engine as kokoro } from '/web/ttsKokoro.js'
+import { engine as kitten } from '/web/ttsKitten.js'
+import { engine as webspeech } from '/web/ttsWebSpeech.js'
+import { playSamples, stopAudio } from '/web/ttsAudio.js'
+import { ensurePersistentStorage } from '/web/storage.js'
+
+const ENGINES = [kokoro, kitten, webspeech]
+let activeId = 'kokoro'
+const voiceSel = {} // engineId -> chosen voice id
+
+const eng = () => ENGINES.find((e) => e.id === activeId) || ENGINES[0]
+
+export const listTtsEngines = () =>
+  ENGINES.map((e) => ({ id: e.id, label: e.label, available: e.available(), experimental: !!e.experimental }))
+export const getTtsEngineId = () => activeId
+export function setTtsEngine(id) { if (ENGINES.some((e) => e.id === id)) activeId = id }
+
+export const listVoices = () => eng().listVoices()
+export const currentVoiceId = () => (voiceSel[activeId] !== undefined ? voiceSel[activeId] : eng().defaultVoice)
+export function setVoice(id) { voiceSel[activeId] = id }
+
+export const ttsNeedsDownload = () => !!eng().needsDownload
+export const ttsBackendLabel = () => eng().backendLabel()
+
+export async function ensureTts(onProgress) {
+  if (eng().needsDownload) await ensurePersistentStorage()
+  return eng().ensure(onProgress)
+}
+
+// Speak text sentence-by-sentence. push() text as it streams; end() to flush the
+// tail; stop() to abort. PCM engines pre-generate the next sentence while the current
+// one plays; native engines (Web Speech) just speak each sentence in order.
+export function makeNarrator({ onState } = {}) {
+  const engine = eng()
+  const voice = currentVoiceId()
+  let pending = '', sentences = [], closed = false, stopped = false, running = false
+  const SENT = /[\s\S]*?[.!?…]["')\]]*(?:\s+|$)/g
+  const wait = (ms) => new Promise((r) => setTimeout(r, ms))
+
+  function drain(force) {
+    SENT.lastIndex = 0
+    let m, last = 0
+    while ((m = SENT.exec(pending)) !== null) {
+      const s = m[0].trim()
+      if (s) sentences.push(s)
+      last = SENT.lastIndex
+    }
+    pending = pending.slice(last)
+    if (force && pending.trim()) { sentences.push(pending.trim()); pending = '' }
+  }
+
+  async function loop() {
+    running = true
+    onState && onState('speaking')
+    try {
+      if (engine.mode === 'native') {
+        while (!stopped) {
+          if (sentences.length) await engine.speak(sentences.shift(), voice)
+          else if (closed) break
+          else await wait(60)
+        }
+      } else {
+        const startNext = () => (sentences.length ? engine.synth(sentences.shift(), voice, {}) : null)
+        let synthP = null
+        while (!stopped) {
+          if (!synthP) synthP = startNext()
+          if (!synthP) { if (closed) break; await wait(60); continue }
+          let cur = null
+          try { cur = await synthP } catch { cur = null }
+          synthP = startNext() // pre-generate next while current plays
+          if (cur && !stopped) { try { await playSamples(cur.audio, cur.sampleRate) } catch { /* ignore */ } }
+        }
+      }
+    } finally {
+      running = false
+      onState && onState(stopped ? 'stopped' : 'done')
+    }
+  }
+
+  return {
+    push(text) { pending += text; drain(false); if (!running && !stopped) loop() },
+    end() { drain(true); closed = true; if (!running && !stopped) loop() },
+    stop() { stopped = true; sentences = []; pending = ''; if (engine.stop) engine.stop(); stopAudio() },
+  }
+}

web/ttsAudio.js

@@ -0,0 +1,31 @@
+// Shared audio output for the PCM TTS engines (Kokoro, Kitten). One AudioContext,
+// one source at a time — the narrator awaits playSamples() per sentence so chunks
+// play in order without overlap. Created lazily on first use (which happens after a
+// user gesture, so resume() is allowed by autoplay policy).
+let _ctx = null
+let _cur = null
+
+function ctx() {
+  if (!_ctx) _ctx = new (window.AudioContext || window.webkitAudioContext)()
+  return _ctx
+}
+
+export async function playSamples(float32, sampleRate) {
+  const ac = ctx()
+  if (ac.state === 'suspended') { try { await ac.resume() } catch { /* ignore */ } }
+  const buf = ac.createBuffer(1, float32.length, sampleRate)
+  buf.getChannelData(0).set(float32)
+  return new Promise((resolve) => {
+    const src = ac.createBufferSource()
+    src.buffer = buf
+    src.connect(ac.destination)
+    _cur = src
+    src.onended = () => { if (_cur === src) _cur = null; resolve() }
+    src.start()
+  })
+}
+
+export function stopAudio() {
+  try { if (_cur) _cur.stop() } catch { /* ignore */ }
+  _cur = null
+}

web/ttsBar.js

@@ -0,0 +1,58 @@
+// Voice/TTS picker for the war-diary panel: choose the TTS engine (Kokoro / Kitten /
+// Web Speech — switchable so you can compare), a voice, and whether to auto-narrate
+// while the diary streams. Mirrors modelBar.js. The play/stop button lives in the
+// panel (it owns the diary text); this bar only drives the tts.js facade state.
+import {
+  listTtsEngines, getTtsEngineId, setTtsEngine,
+  listVoices, currentVoiceId, setVoice,
+  ttsBackendLabel, ttsNeedsDownload,
+} from '/web/tts.js'
+
+function el(tag, props = {}, kids = []) {
+  const n = document.createElement(tag)
+  for (const [k, v] of Object.entries(props)) {
+    if (k === 'class') n.className = v
+    else if (k.startsWith('on') && typeof v === 'function') n.addEventListener(k.slice(2), v)
+    else if (v != null) n.setAttribute(k, v)
+  }
+  for (const kid of [].concat(kids)) if (kid != null) n.append(kid)
+  return n
+}
+
+export function mountTtsBar(host, { onChange } = {}) {
+  const engSel = el('select', { class: 'model-select engine-select' })
+  const voiceSel = el('select', { class: 'model-select' })
+  const auto = el('input', { type: 'checkbox', class: 'tts-auto' })
+  const autoWrap = el('label', { class: 'tts-auto-row' }, [auto, ' narrate as it writes'])
+  const info = el('div', { class: 'model-info' })
+  host.append(el('div', { class: 'model-bar tts-bar' }, [
+    el('label', { class: 'persona-label' }, '🔊 Voice (reads on your device)'),
+    engSel,
+    el('label', { class: 'persona-label' }, 'Voice'),
+    voiceSel, info, autoWrap,
+  ]))
+
+  engSel.replaceChildren(...listTtsEngines().map((e) =>
+    el('option', { value: e.id, ...(e.available ? {} : { disabled: 'disabled' }) },
+      `${e.label}${e.available ? '' : ' · n/a'}`)))
+  engSel.value = getTtsEngineId()
+
+  function renderVoices() {
+    const voices = listVoices()
+    voiceSel.replaceChildren(...(voices.length
+      ? voices.map((v) => el('option', { value: v.id }, v.label))
+      : [el('option', { value: '' }, 'default')]))
+    const cur = currentVoiceId()
+    if (voices.some((v) => v.id === cur)) voiceSel.value = cur
+    info.textContent = `${ttsBackendLabel()}${ttsNeedsDownload() ? ' · downloads on first use' : ' · no download'}`
+  }
+
+  engSel.addEventListener('change', () => { setTtsEngine(engSel.value); renderVoices(); onChange && onChange() })
+  voiceSel.addEventListener('change', () => { setVoice(voiceSel.value); onChange && onChange() })
+
+  // Web Speech voices populate asynchronously.
+  if (typeof speechSynthesis !== 'undefined') speechSynthesis.onvoiceschanged = () => renderVoices()
+
+  renderVoices()
+  return { autoNarrate: () => auto.checked, refresh: renderVoices }
+}

web/ttsKitten.js

@@ -0,0 +1,97 @@
+// TTS engine: KittenTTS Nano (15M, ~24MB ONNX) — the smallest usable browser TTS.
+// Pipeline (mirrors clowerweb/kitten-tts-web-demo): phonemize → map to token ids →
+// ONNX run (input_ids/style/speed → waveform @ 24kHz). Runs on WASM for robustness
+// (the WebGPU EP produces NaNs on some drivers). Experimental: depends on
+// onnxruntime-web + phonemizer loading from CDN, so it degrades to an error if either
+// fails. Model from HF; tokenizer + voice embeddings vendored under /web/kitten/.
+const ORT_VER = '1.26.0'
+const ORT_URL = `https://cdn.jsdelivr.net/npm/onnxruntime-web@${ORT_VER}/dist/ort.wasm.mjs`
+const MODEL_URL = 'https://huggingface.co/KittenML/kitten-tts-nano-0.1/resolve/main/kitten_tts_nano_v0_1.onnx'
+const SAMPLE_RATE = 24000
+
+const VOICES = [
+  { id: 'expr-voice-2-f', label: 'Voice 2 · ♀' },
+  { id: 'expr-voice-2-m', label: 'Voice 2 · ♂' },
+  { id: 'expr-voice-3-f', label: 'Voice 3 · ♀' },
+  { id: 'expr-voice-3-m', label: 'Voice 3 · ♂' },
+  { id: 'expr-voice-4-f', label: 'Voice 4 · ♀' },
+  { id: 'expr-voice-4-m', label: 'Voice 4 · ♂' },
+  { id: 'expr-voice-5-f', label: 'Voice 5 · ♀' },
+  { id: 'expr-voice-5-m', label: 'Voice 5 · ♂' },
+]
+
+let _ort = null, _session = null, _vocab = null, _voiceEmb = null, _phon = null, _p = null
+
+async function ensure(onProgress) {
+  if (_session) return _session
+  if (_p) return _p
+  _p = (async () => {
+    _ort = await import(ORT_URL)
+    _ort.env.wasm.numThreads = 1 // HF Space lacks COOP/COEP → no SharedArrayBuffer
+    _ort.env.wasm.wasmPaths = `https://cdn.jsdelivr.net/npm/onnxruntime-web@${ORT_VER}/dist/`
+
+    const [tok, voices] = await Promise.all([
+      fetch('/web/kitten/tokenizer.json').then((r) => r.json()),
+      fetch('/web/kitten/voices.json').then((r) => r.json()),
+    ])
+    _vocab = tok.model.vocab
+    _voiceEmb = voices
+
+    const resp = await fetch(MODEL_URL)
+    const total = +(resp.headers.get('content-length') || 0)
+    let loaded = 0
+    const reader = resp.body.getReader()
+    const parts = []
+    for (;;) {
+      const { done, value } = await reader.read()
+      if (done) break
+      parts.push(value); loaded += value.length
+      if (onProgress && total) onProgress(loaded / total)
+    }
+    const bytes = new Uint8Array(loaded)
+    let off = 0
+    for (const p of parts) { bytes.set(p, off); off += p.length }
+
+    _session = await _ort.InferenceSession.create(bytes.buffer, {
+      executionProviders: [{ name: 'wasm', simd: true }],
+    })
+    return _session
+  })().catch((e) => { _p = null; throw e })
+  return _p
+}
+
+async function phonemes(text) {
+  if (!_phon) { const m = await import('https://esm.run/phonemizer@1.2.1'); _phon = m.phonemize }
+  const ph = await _phon(text, 'en-us')
+  return Array.isArray(ph) ? ph.join(' ') : String(ph)
+}
+
+async function synth(text, voice, { speed = 1 } = {}) {
+  const ph = await phonemes(text)
+  const ids = `$${ph}$`.split('').map((ch) => (_vocab[ch] != null ? _vocab[ch] : 0))
+  const emb = _voiceEmb[voice] || _voiceEmb[VOICES[0].id]
+  const inputs = {
+    input_ids: new _ort.Tensor('int64', BigInt64Array.from(ids.map((i) => BigInt(i))), [1, ids.length]),
+    style: new _ort.Tensor('float32', new Float32Array(emb[0]), [1, emb[0].length]),
+    speed: new _ort.Tensor('float32', new Float32Array([speed]), [1]),
+  }
+  const out = await _session.run(inputs)
+  const data = out.waveform.data
+  // Scrub NaNs to silence so a bad frame can't poison the whole clip.
+  const audio = new Float32Array(data.length)
+  for (let i = 0; i < data.length; i++) audio[i] = Number.isNaN(data[i]) ? 0 : data[i]
+  return { audio, sampleRate: SAMPLE_RATE }
+}
+
+export const engine = {
+  id: 'kitten',
+  label: 'Kitten TTS 15M · smallest (experimental)',
+  mode: 'pcm',
+  experimental: true,
+  needsDownload: true,
+  available: () => true,
+  listVoices: () => VOICES,
+  defaultVoice: 'expr-voice-2-f',
+  ensure, synth,
+  backendLabel: () => 'CPU (WASM)',
+}

web/ttsKokoro.js

@@ -0,0 +1,53 @@
+// TTS engine: Kokoro-82M via kokoro-js (Transformers.js + ONNX, WebGPU/WASM).
+// Best-quality model that runs 100% in the browser (Apache-2.0). Weights pull from
+// huggingface.co like our LLM models; nothing touches the Space. mode 'pcm' → the
+// narrator plays the returned Float32Array through the shared AudioContext.
+import { KokoroTTS } from 'https://cdn.jsdelivr.net/npm/kokoro-js@1.2.1/+esm'
+
+const MODEL_ID = 'onnx-community/Kokoro-82M-v1.0-ONNX'
+// Curated subset of Kokoro's 54 voices (a = American, b = British; f/m).
+const VOICES = [
+  { id: 'af_heart', label: 'Heart · US ♀' },
+  { id: 'af_bella', label: 'Bella · US ♀' },
+  { id: 'af_nicole', label: 'Nicole · US ♀' },
+  { id: 'am_michael', label: 'Michael · US ♂' },
+  { id: 'am_fenrir', label: 'Fenrir · US ♂' },
+  { id: 'bf_emma', label: 'Emma · UK ♀' },
+  { id: 'bm_george', label: 'George · UK ♂' },
+  { id: 'bm_lewis', label: 'Lewis · UK ♂' },
+]
+
+let _tts = null, _p = null
+
+async function ensure(onProgress) {
+  if (_tts) return _tts
+  if (_p) return _p
+  _p = (async () => {
+    _tts = await KokoroTTS.from_pretrained(MODEL_ID, {
+      dtype: (typeof navigator !== 'undefined' && navigator.gpu) ? 'fp32' : 'q8',
+      device: (typeof navigator !== 'undefined' && navigator.gpu) ? 'webgpu' : 'wasm',
+      progress_callback: (p) => {
+        if (onProgress && p && p.status === 'progress' && p.total) onProgress(p.loaded / p.total)
+      },
+    })
+    return _tts
+  })().catch((e) => { _p = null; throw e })
+  return _p
+}
+
+async function synth(text, voice, { speed = 1 } = {}) {
+  const out = await _tts.generate(text, { voice: voice || VOICES[0].id, speed })
+  return { audio: out.audio, sampleRate: out.sampling_rate }
+}
+
+export const engine = {
+  id: 'kokoro',
+  label: 'Kokoro 82M · best quality',
+  mode: 'pcm',
+  needsDownload: true,
+  available: () => true,
+  listVoices: () => VOICES,
+  defaultVoice: 'af_heart',
+  ensure, synth,
+  backendLabel: () => { try { return navigator.gpu ? '⚡ WebGPU' : 'CPU (WASM)' } catch { return 'CPU (WASM)' } },
+}

web/ttsWebSpeech.js

@@ -0,0 +1,46 @@
+// TTS engine: Web Speech API (speechSynthesis). Zero download, instant — uses the
+// OS/browser's built-in voices. Not a "model" (quality varies by platform, and on
+// some platforms the voice is cloud-backed), but it's the no-wait fallback. mode
+// 'native' → the engine speaks the sentence itself and resolves when it finishes.
+const synth = () => (typeof window !== 'undefined' ? window.speechSynthesis : null)
+
+const enVoices = () => {
+  const s = synth()
+  if (!s) return []
+  return s.getVoices()
+    .filter((v) => /^en\b|^en[-_]/i.test(v.lang))
+    .map((v) => ({ id: v.voiceURI, label: `${v.name} · ${v.lang}`, _v: v }))
+}
+
+let _voiceCache = []
+function voices() {
+  const v = enVoices()
+  if (v.length) _voiceCache = v
+  return _voiceCache
+}
+const findVoice = (id) => (voices().find((x) => x.id === id) || {})._v || null
+
+export const engine = {
+  id: 'webspeech',
+  label: 'Web Speech · built-in (no download)',
+  mode: 'native',
+  needsDownload: false,
+  available: () => !!synth(),
+  listVoices: () => voices(),
+  defaultVoice: '', // empty → browser default voice
+  ensure: async () => { /* nothing to load */ },
+  speak(text, voiceId) {
+    return new Promise((resolve) => {
+      const s = synth()
+      if (!s) return resolve()
+      const u = new SpeechSynthesisUtterance(text)
+      const v = findVoice(voiceId)
+      if (v) u.voice = v
+      u.onend = () => resolve()
+      u.onerror = () => resolve()
+      s.speak(u)
+    })
+  },
+  stop() { const s = synth(); if (s) s.cancel() },
+  backendLabel: () => 'OS voices',
+}