import { pipeline, env } from '@huggingface/transformers';
import os from 'os'; import path from 'path';
env.allowLocalModels=false;
env.cacheDir=path.join(os.homedir(),'Library/Application Support/Church Translate Models');
const pipe=await pipeline('translation','Xenova/nllb-200-distilled-600M',{dtype:'fp32'});
const say=async(t,l)=>{const o=await pipe(t,{src_lang:'eng_Latn',tgt_lang:l});return (Array.isArray(o)?o[0]:o).translation_text.trim();};

/* Each candidate must EARN its place: the rewrite has to beat the original in
   more than one language, or it is just a different guess. */
const PAIRS=[
 ['Open up to the book of John.',        'Turn to the book of John.'],
 ['Circle that in your Bible.',          'Mark that in your Bible.'],
 ['Let that sink in.',                   'Think carefully about that.'],
 ['Walk it out.',                        'Put it into practice.'],
 ['That will preach.',                   'That is worth preaching.'],
 ['Let me unpack that for you.',         'Let me explain that to you.'],
 ['We are going to camp out here for a minute.','We are going to stay here for a minute.'],
 ['Give God a hand of praise.',          'Applaud to praise God.'],
 ['Put a hand on your neighbor.',        'Put a hand on the person next to you.'],
 ['Drop down to verse ten.',             'Go to verse ten.'],
 ['Back up to verse one.',               'Go back to verse one.'],
 ['Are you tracking with me.',           'Are you following me.'],
 ['I want you to catch this.',           'I want you to understand this.'],
 ['God showed up.',                      'God was present.']
];
const LANGS=['spa_Latn','por_Latn','fra_Latn'];
for (const [before,after] of PAIRS) {
  console.log('\n' + before + '\n  -> ' + after);
  for (const l of LANGS) {
    const b=await say(before,l), a=await say(after,l);
    console.log('   '+l.slice(0,3)+'  was: '+b+'\n        now: '+a+(a===b?'   (no change)':''));
  }
}