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@huggingface/transformers

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

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import { Processor } from '../../base/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; } }