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react-native-executorch

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An easy way to run AI models in react native with ExecuTorch

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import { ResourceSource } from '../types/common'; import { MODES } from '../constants/sttDefaults'; export declare class SpeechToTextController { private nativeModule; private overlapSeconds; private windowSize; private chunks; sequence: number[]; isReady: boolean; isGenerating: boolean; private modelName; private tokenMapping; private decodedTranscribeCallback; private modelDownloadProgessCallback; private isReadyCallback; private isGeneratingCallback; private onErrorCallback; private config; constructor({ transcribeCallback, modelDownloadProgessCallback, isReadyCallback, isGeneratingCallback, onErrorCallback, overlapSeconds, windowSize, streamingConfig, }: { transcribeCallback: (sequence: string) => void; modelDownloadProgessCallback?: (downloadProgress: number) => void; isReadyCallback?: (isReady: boolean) => void; isGeneratingCallback?: (isGenerating: boolean) => void; onErrorCallback?: (error: Error | undefined) => void; overlapSeconds?: number; windowSize?: number; streamingConfig?: keyof typeof MODES; }); private fetchTokenizer; loadModel(modelName: 'moonshine' | 'whisper', encoderSource?: ResourceSource, decoderSource?: ResourceSource, tokenizerSource?: ResourceSource): Promise<void>; configureStreaming(overlapSeconds?: number, windowSize?: number, streamingConfig?: keyof typeof MODES): void; private chunkWaveform; transcribe(waveform: number[]): Promise<string>; decodeSeq(seq?: number[]): string; encode(waveform: number[]): Promise<any>; decode(seq: number[], encodings?: number[]): Promise<any>; } //# sourceMappingURL=SpeechToTextController.d.ts.map