christianandClaude Opus 5
c9eef0672c
Live sermon translation into 100+ languages, running entirely on one Mac per campus: audio in, voice detection, Whisper on the GPU, NLLB-200 in its own process, and a built-in web server the congregation reads from on their phones. No audio leaves the building. This is the source only. What used to sit beside it — 14 GB of speech and translation models, 8 GB of voice bundles, 6 GB of natural voices, the Electron caches, and the app data holding the operator PIN and every service transcript — is machine state and downloaded assets, and stays in the NAS backup where it belongs. The vendored node, cloudflared and Windows ffmpeg binaries are out too (533 MB, re-fetched for packaging); the browser-side runtime beside them is kept, so a checkout still serves the congregation page. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
69 lines
3.4 KiB
JavaScript
69 lines
3.4 KiB
JavaScript
/* Integration test: fork the REAL mt-service.js the way main.js does and prove
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the batched path returns the same text as the one-at-a-time path. */
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import { fork } from 'child_process';
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import os from 'os'; import path from 'path';
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import { fileURLToPath } from 'url';
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const __dirname = path.dirname(fileURLToPath(import.meta.url));
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const MODELS_DIR = path.join(os.homedir(), 'Library/Application Support/Church Translate Models');
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const LANGS = ['spa_Latn','por_Latn','fra_Latn','zho_Hans','hat_Latn','hin_Deva','kor_Hang','vie_Latn','arb_Arab'];
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const TEXTS = [
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'And I want you to understand that God has a plan for your life',
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'Turn with me to the book of Romans chapter eight',
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'He was faithful even when it cost him everything, and that is the kind of faith we are called to',
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'Amen',
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];
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const child = fork(path.join(__dirname, 'mt-service.js'), [], { stdio: ['ignore','pipe','pipe','ipc'] });
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child.stderr.on('data', d => process.stderr.write('[mt] ' + d));
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let seq = 0; const pending = new Map();
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child.on('message', (m) => {
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if (m.type === 'ready') { pending.get('ready')?.(); return; }
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if (m.type === 'note') { console.log(' note: ' + m.message); return; }
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if (m.type === 'progress') return;
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const w = pending.get(m.id); if (!w) return; pending.delete(m.id);
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if (m.type === 'error') w.reject(new Error(m.message));
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else w.resolve(m.type === 'multi' ? m.texts : m.text);
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});
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const send = (payload) => new Promise((resolve, reject) => {
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const id = ++seq; pending.set(id, { resolve, reject });
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child.send({ ...payload, id });
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});
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const ready = new Promise(r => pending.set('ready', r));
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child.send({ type: 'load', model: 'Xenova/nllb-200-distilled-600M', dtype: 'fp32', cacheDir: MODELS_DIR });
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const t0 = Date.now();
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await ready;
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console.log('model ready in ' + ((Date.now()-t0)/1000).toFixed(1) + 's\n');
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const one = (text, tgt) => send({ type:'translate', text, src:'eng_Latn', tgt });
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const many = (text, tgts) => send({ type:'translateMulti', text, src:'eng_Latn', tgts });
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await one(TEXTS[0], 'spa_Latn'); await many(TEXTS[0], ['spa_Latn','fra_Latn']); // warm
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let mismatches = 0, checks = 0;
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console.log('text N | serial | batched | speedup | match');
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console.log('-----------------------------+----------+----------+---------+------');
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for (const text of TEXTS) {
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for (const n of [3, 9]) {
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const langs = LANGS.slice(0, n);
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let s = Date.now(); const so = {}; for (const l of langs) so[l] = await one(text, l); s = Date.now()-s;
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let b = Date.now(); const bo = await many(text, langs); b = Date.now()-b;
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let same = 0; for (const l of langs) { checks++; if (so[l] === bo[l]) same++; else { mismatches++; } }
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console.log(
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(text.slice(0,26)).padEnd(27) + String(n).padStart(2) + ' | ' +
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(s+'ms').padStart(8) + ' | ' + (b+'ms').padStart(8) + ' | ' +
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((s/b).toFixed(2)+'x').padStart(7) + ' | ' + same + '/' + n);
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if (same !== n) for (const l of langs) if (so[l] !== bo[l])
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console.log(' ' + l + '\n serial : ' + so[l] + '\n batched: ' + bo[l]);
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}
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}
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console.log('\n' + (checks - mismatches) + '/' + checks + ' identical across ' + TEXTS.length + ' texts');
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/* Edge cases */
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console.log('\nedge cases:');
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console.log(' one target :', JSON.stringify(await many('God is good', ['spa_Latn'])));
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console.log(' zero targets :', JSON.stringify(await many('God is good', [])));
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console.log(' duplicate :', JSON.stringify(await many('God is good', ['spa_Latn','spa_Latn'])));
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child.kill();
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