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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 { symbols } from '../constants/ocr/symbols'; import { ETError, getError } from '../Error'; import { VerticalOCRNativeModule } from '../native/RnExecutorchModules'; import { ResourceSource } from '../types/common'; import { OCRLanguage } from '../types/ocr'; import { ResourceFetcher } from '../utils/ResourceFetcher'; export class VerticalOCRController { private ocrNativeModule: typeof VerticalOCRNativeModule; public isReady: boolean = false; public isGenerating: boolean = false; public error: string | null = null; private modelDownloadProgressCallback: (downloadProgress: number) => void; private isReadyCallback: (isReady: boolean) => void; private isGeneratingCallback: (isGenerating: boolean) => void; private errorCallback: (error: string) => void; constructor({ modelDownloadProgressCallback = (_downloadProgress: number) => {}, isReadyCallback = (_isReady: boolean) => {}, isGeneratingCallback = (_isGenerating: boolean) => {}, errorCallback = (_error: string) => {}, }) { this.ocrNativeModule = VerticalOCRNativeModule; this.modelDownloadProgressCallback = modelDownloadProgressCallback; this.isReadyCallback = isReadyCallback; this.isGeneratingCallback = isGeneratingCallback; this.errorCallback = errorCallback; } public loadModel = async ( detectorSources: { detectorLarge: ResourceSource; detectorNarrow: ResourceSource; }, recognizerSources: { recognizerLarge: ResourceSource; recognizerSmall: ResourceSource; }, language: OCRLanguage, independentCharacters: boolean ) => { try { if ( Object.keys(detectorSources).length !== 2 || Object.keys(recognizerSources).length !== 2 ) return; if (!symbols[language]) { throw new Error(getError(ETError.LanguageNotSupported)); } this.isReady = false; this.isReadyCallback(this.isReady); const paths = await ResourceFetcher.fetchMultipleResources( this.modelDownloadProgressCallback, detectorSources.detectorLarge, detectorSources.detectorNarrow, independentCharacters ? recognizerSources.recognizerSmall : recognizerSources.recognizerLarge ); await this.ocrNativeModule.loadModule( paths[0]!, paths[1]!, paths[2]!, symbols[language], independentCharacters ); this.isReady = true; this.isReadyCallback(this.isReady); } catch (e) { if (this.errorCallback) { this.errorCallback(getError(e)); } else { throw new Error(getError(e)); } } }; public forward = async (input: string) => { if (!this.isReady) { throw new Error(getError(ETError.ModuleNotLoaded)); } if (this.isGenerating) { throw new Error(getError(ETError.ModelGenerating)); } try { this.isGenerating = true; this.isGeneratingCallback(this.isGenerating); return await this.ocrNativeModule.forward(input); } catch (e) { throw new Error(getError(e)); } finally { this.isGenerating = false; this.isGeneratingCallback(this.isGenerating); } }; }