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web-ai-toolkit

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AI powered features on the web made easy

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export async function transcribeAudioFile(audioFile: Blob, model: string = "Xenova/whisper-tiny", timestamps: boolean = false, language: string = "en-US") { try { const { loadTranscriber, doLocalWhisper } = await import("./services/speech-recognition/recognition"); await loadTranscriber(model, timestamps, language); return doLocalWhisper(audioFile, model); } catch (err) { console.error(err); return err; } } export async function textToSpeech(text: string, model: string = "Xenova/mms-tts-eng") { try { const { runSynthesizer } = await import("./services/text-to-speech/tts"); return runSynthesizer(text, model); } catch (err) { console.error(err); return err; } } export async function summarize(text: string, model: string = "Xenova/distilbart-cnn-6-6") { try { const { runSummarizer } = await import("./services/summarization/summarization"); return runSummarizer(text, model); } catch (err) { console.error(err); return err; } } export async function ocr(image: Blob, model: string = "Xenova/trocr-small-printed") { try { const { runOCR } = await import("./services/ocr/ocr"); return runOCR(image, model); } catch (err) { console.error(err); return err; } } export async function classifyImage(image: Blob, model: string = "Xenova/resnet-50") { try { const { runClassifier } = await import("./services/image-classification/image-classification"); return runClassifier(image, model); } catch (err) { console.error(err); return err; } } export async function doRAGSearch(texts: string[], query: string) { try { const { simpleRAG } = await import("./services/rag/rag"); return simpleRAG(texts, query); } catch (err) { console.error(err); return err; } }