UNPKG

@huggingface/transformers

Version:

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

27 lines (22 loc) • 947 B
import { Processor } from '../../processing_utils.js'; import { PyAnnoteFeatureExtractor } from './feature_extraction_pyannote.js'; export class PyAnnoteProcessor extends Processor { static feature_extractor_class = PyAnnoteFeatureExtractor; /** * Calls the feature_extractor function with the given audio input. * @param {any} audio The audio input to extract features from. * @returns {Promise<any>} A Promise that resolves with the extracted features. */ async _call(audio) { return await this.feature_extractor(audio); } /** @type {PyAnnoteFeatureExtractor['post_process_speaker_diarization']} */ post_process_speaker_diarization(...args) { return /** @type {PyAnnoteFeatureExtractor} */ (this.feature_extractor).post_process_speaker_diarization( ...args, ); } get sampling_rate() { return this.feature_extractor.config.sampling_rate; } }