Files
ai-utils/src/audio.ts
ztimson 7ef7c3f676
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Cap speaker ID transcript length to 2000 tokens
2026-02-14 09:48:12 -05:00

61 lines
2.2 KiB
TypeScript

import {fileURLToPath} from 'url';
import {Worker} from 'worker_threads';
import {AbortablePromise, Ai} from './ai.ts';
import {canDiarization} from './asr.ts';
import {dirname, join} from 'path';
export class Audio {
constructor(private ai: Ai) {}
asr(file: string, options: { model?: string; speaker?: boolean | 'id' } = {}): AbortablePromise<string | null> {
const { model = this.ai.options.asr || 'whisper-base', speaker = false } = options;
let aborted = false;
const abort = () => { aborted = true; };
let p = new Promise<string | null>((resolve, reject) => {
const worker = new Worker(join(dirname(fileURLToPath(import.meta.url)), 'asr.js'));
const handleMessage = ({ text, warning, error }: any) => {
worker.terminate();
if(aborted) return;
if(error) reject(new Error(error));
else {
if(warning) console.warn(warning);
resolve(text);
}
};
const handleError = (err: Error) => {
worker.terminate();
if(!aborted) reject(err);
};
worker.on('message', handleMessage);
worker.on('error', handleError);
worker.on('exit', (code) => {
if(code !== 0 && !aborted) reject(new Error(`Worker exited with code ${code}`));
});
worker.postMessage({file, model, speaker, modelDir: this.ai.options.path, token: this.ai.options.hfToken});
});
// Name speakers using AI
if(options.speaker == 'id') {
if(!this.ai.language.defaultModel) throw new Error('Configure an LLM for advanced ASR speaker detection');
p = p.then(async transcript => {
if(!transcript) return transcript;
let chunks = this.ai.language.chunk(transcript, 500, 0);
if(chunks.length > 4) chunks = [...chunks.slice(0, 3), <string>chunks.at(-1)];
const names = await this.ai.language.json(chunks.join('\n'), '{1: "Detected Name"}', {
system: 'Use this following transcript to identify speakers. Only identify speakers you are sure about',
temperature: 0.1,
});
Object.entries(names).forEach(([speaker, name]) => {
transcript = (<string>transcript).replaceAll(`[Speaker ${speaker}]`, `[${name}]`);
});
return transcript;
})
}
return Object.assign(p, { abort });
}
canDiarization = canDiarization;
}