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>
35 lines
2.1 KiB
JavaScript
35 lines
2.1 KiB
JavaScript
import { pipeline, env } from '@huggingface/transformers';
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import { createRequire } from 'module';
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import os from 'os'; import path from 'path'; import fs from 'fs'; import vm from 'vm';
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const require = createRequire(import.meta.url);
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const Liturgy=require('./liturgy.js'), Guard=require('./mt-guard.js');
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const Preach=require('./preach.js'), B=require('./bible-lexicon.js'), Spa=require('./spa-variants.js');
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const esrc=fs.readFileSync('engine.js','utf8');
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const sb={console}; vm.createContext(sb);
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vm.runInContext(esrc.slice(esrc.indexOf('const SCRIPT_NO_SPACES'), esrc.indexOf('function applyFixes')), sb);
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env.allowLocalModels=false;
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env.cacheDir=path.join(os.homedir(),'Library/Application Support/Church Translate Models');
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const pipe=await pipeline('translation','Xenova/nllb-200-distilled-600M',{dtype:'fp32'});
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async function full(sentence, lang){
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const set=Liturgy.lookup(sentence,lang); if(set) return [set,'liturgy'];
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const named=B.wholeUtterance(sentence,lang); if(named) return [named,'name'];
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const forMt=Preach.forTranslation(sentence);
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const sd=Preach.stripShortPeriod(forMt);
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const o=await pipe(sd.text,{src_lang:'eng_Latn',tgt_lang:lang});
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let raw=(Array.isArray(o)?o[0]:o).translation_text.trim();
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raw=Guard.clean(sd.text,raw).text;
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raw=Preach.restorePeriod(raw,sd.hadPeriod);
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if(lang==='spa_Latn') raw=Spa.toLatinAmerican(Spa.toChurchRegister(raw));
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const bl=B.forLanguage(lang);
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if(bl) raw=sb.applyTable(raw,Object.keys(bl).map(f=>({from:f,to:bl[f]})));
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return [raw,'model'];
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}
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const CASES=['Hello.','What?','Amen.','Hallelujah.','Peter.','Okay.','Check.','Faith.','Hello?',
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'No.','Jesus.','Yeah.','All right.','Right?','Holy Spirit.','Death.','Yeah?',
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'Praise God.','Grace.','Hope.','Love.','Sin.','Heaven.','Prayer.','Worship.',
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'Testing.','One two.','Mic check.','Good.','Wow.','Listen.','Look.','Come.','Stand.'];
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console.log(' English'.padEnd(18)+'now'.padEnd(30)+'via');
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for (const t of CASES){ const [r,how]=await full(t,'spa_Latn'); console.log(' '+t.padEnd(16)+String(r).slice(0,28).padEnd(30)+how); }
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