Files
EveFlow/src/components/settings/ModelsSection.tsx
T
Claude 32551ccc0d feat: voix Edge neuronales, Supertonic 3 en local et genre respecté par tous les moteurs (v2.5.0)
- Nouveau moteur « Microsoft Edge » (voix neuronales gratuites, sans clé) : Henri / Denise
  par défaut selon le genre, liste des voix fr-FR / fr-CA / fr-CH / fr-BE, WebSocket signé
  (Sec-MS-GEC) dans le processus principal, MP3 24 kHz. Moteur par défaut des nouvelles
  installations.
- Supertonic 3 ajouté au catalogue local (31 langues, 5 voix masculines + 5 féminines,
  44 kHz, 129 Mo) : langue transmise au worker, genres des voix vérifiés par mesure de F0.
- Kokoro déclassé pour le français (une seule voix féminine, accent) ; le choix
  masculin/féminin bascule sur le meilleur modèle installé et conserve le genre quand on
  change de modèle ; Google Translate signalé comme voix féminine uniquement.
- Deux préréglages JARVIS : en ligne (Edge Henri) et hors ligne (Supertonic 3).
- Traitement du micro par Chromium (écho, bruit, gain) débrayable pour de meilleures
  transcriptions au casque.
- Tests : protocole Edge (jeton, SSML, trames), sélection de voix ; README et feuille de
  route (mesures Supertonic, Parakeet vs Qwen3-ASR).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMpgFriwxiBgurUVb21oCE
2026-09-04 15:37:00 +00:00

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import { useEffect } from 'react';
import { Download, Trash2, X, CheckCircle2, Cpu, Mic, Volume2, AlertTriangle, RefreshCw, Ear, Activity } from 'lucide-react';
import type { VoiceModelStatus } from '../../../shared/voice';
import { bridge } from '../../lib/bridge';
import { useShallow } from 'zustand/react/shallow';
import { pickSpeaker } from '../../lib/voicePreference';
import { useVoiceModels } from '../../state/voiceModels';
import { useSettings } from '../../state/settings';
function formatMb(bytes: number): string {
return bytes >= 1024 * 1024 * 1024 ? `${(bytes / 1024 ** 3).toFixed(2)} Go` : `${Math.round(bytes / 1024 / 1024)} Mo`;
}
function ModelRow({ model }: { model: VoiceModelStatus }) {
const progress = useVoiceModels((s) => s.progress[model.id]);
const { download, cancel, remove } = useVoiceModels.getState();
const activeStt = useSettings((s) => s.settings.voice.localModel);
const activeTts = useSettings((s) => s.settings.speech.localModel);
const update = useSettings((s) => s.update);
const isActive = model.kind === 'stt' ? activeStt === model.id : activeTts === model.id;
const busy = !!progress && (progress.phase === 'download' || progress.phase === 'extract');
const wakeMode = useSettings((s) => s.settings.voice.wakeMode);
const activate = () => {
if (model.kind === 'stt') update({ voice: { localModel: model.id, provider: 'local' } });
else if (model.kind === 'kws') update({ voice: { wakeMode: 'kws' } });
else if (model.kind === 'vad') update({ voice: { neuralVad: true } });
else {
const { speech } = useSettings.getState().settings;
update({ speech: { localModel: model.id, provider: 'local', localSpeaker: pickSpeaker(model, speech.language || 'fr-FR', speech.voiceGender ?? 'male') } });
}
};
const neuralVad = useSettings((s) => s.settings.voice.neuralVad);
const activeNow = model.kind === 'kws' ? wakeMode === 'kws' : model.kind === 'vad' ? neuralVad : isActive;
return (
<div className="row-item" style={activeNow && model.installed ? { borderColor: 'var(--accent)' } : undefined}>
<div className="main">
<div className="row wrap" style={{ gap: 6 }}>
<span className="name">{model.name}</span>
{model.recommended && <span className="status-pill ok">recommandé</span>}
{model.installed && <span className="status-pill online">installé · {formatMb(model.installedBytes)}</span>}
{!model.installed && !busy && <span className="status-pill">{model.sizeMb} Mo</span>}
{activeNow && model.installed && <span className="status-pill active">actif</span>}
</div>
<span className="desc">{model.description}</span>
<span className="meta">langues : {model.languages.join(', ')}{model.speakers ? ` · ${model.speakers.length} voix` : ''}</span>
{busy && (
<div style={{ marginTop: 6 }}>
<div className="level-meter"><div style={{ width: `${progress.percent}%` }} /></div>
<span className="meta">{progress.phase === 'extract' ? 'extraction…' : `${progress.percent}% · ${formatMb(progress.received)} / ${formatMb(progress.total)}`}</span>
</div>
)}
{progress?.phase === 'error' && <span className="meta" style={{ color: 'var(--danger)' }}>échec : {progress.message}</span>}
</div>
<div className="actions">
{busy ? (
<button className="icon-btn danger" title="Annuler" onClick={() => void cancel(model.id)}><X size={13} /></button>
) : model.installed ? (
<>
{!activeNow && <button className="btn small" onClick={activate}>Utiliser</button>}
<button className="icon-btn danger" title="Supprimer du disque" onClick={() => { if (confirm(`Supprimer « ${model.name} » ?`)) void remove(model.id); }}><Trash2 size={13} /></button>
</>
) : (
<button className="btn small primary" onClick={() => void download(model.id)}><Download size={13} /> Télécharger</button>
)}
</div>
</div>
);
}
export function ModelsSection() {
const { models, engine, error } = useVoiceModels(useShallow((s) => ({ models: s.models, engine: s.engine, error: s.error })));
const { refresh, checkEngine } = useVoiceModels.getState();
useEffect(() => {
void refresh();
void checkEngine();
}, [refresh, checkEngine]);
if (!bridge()) return <div className="card"><div className="empty">Les modèles locaux ne sont disponibles que dans l’application Electron.</div></div>;
const stt = models.filter((m) => m.kind === 'stt');
const tts = models.filter((m) => m.kind === 'tts');
const kws = models.filter((m) => m.kind === 'kws');
const vad = models.filter((m) => m.kind === 'vad');
return (
<>
<div className="card">
<div className="section-title"><Cpu size={12} /> Moteur local (sherpa-onnx)</div>
{engine === null ? (
<span className="muted">vérification…</span>
) : engine.available ? (
<div className="test-result ok"><CheckCircle2 size={13} /> moteur prêt · version {engine.version}{engine.loaded.length ? ` · chargé : ${engine.loaded.join(', ')}` : ''}</div>
) : (
<div className="test-result fail"><AlertTriangle size={13} /> {engine.error}</div>
)}
<span className="hint" style={{ display: 'block', marginTop: 8 }}>
Les modèles tournent sur le processeur, sans connexion, dans un processus séparé. Dossier : <code>{engine?.modelsDir}</code>
</span>
{error && <div className="test-result fail" style={{ marginTop: 8 }}><AlertTriangle size={13} /> {error}</div>}
<div className="row" style={{ marginTop: 8 }}>
<button className="btn small ghost" onClick={() => { void refresh(); void checkEngine(); }}><RefreshCw size={13} /> Actualiser</button>
</div>
</div>
<div className="card">
<div className="section-title"><Ear size={12} /> Mot d’activation</div>
<div className="list">{kws.map((m) => <ModelRow key={m.id} model={m} />)}</div>
</div>
<div className="card">
<div className="section-title"><Activity size={12} /> Fin de phrase</div>
<div className="list">{vad.map((m) => <ModelRow key={m.id} model={m} />)}</div>
<span className="hint" style={{ display: 'block', marginTop: 6 }}>Utilisé automatiquement en écoute permanente dès qu’il est installé ; sinon le VAD énergétique prend le relais.</span>
</div>
<div className="card">
<div className="section-title"><Mic size={12} /> Reconnaissance vocale</div>
<div className="list">{stt.map((m) => <ModelRow key={m.id} model={m} />)}</div>
</div>
<div className="card">
<div className="section-title"><Volume2 size={12} /> Synthèse vocale</div>
<div className="list">{tts.map((m) => <ModelRow key={m.id} model={m} />)}</div>
</div>
</>
);
}