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import { LANGUAGES } from "@/constants/language-constants";
import type {
TranscriptionModel,
TranscriptionModelId,
} from "@/lib/transcription/types";
import type { LanguageCode } from "@/constants/language-constants";
const SUPPORTED_TRANSCRIPTION_LANGS: ReadonlyArray<LanguageCode> = [
"en",
"es",
"it",
"fr",
"de",
"pt",
"ru",
"ja",
"zh",
];
export const TRANSCRIPTION_LANGUAGES = LANGUAGES.filter((language) =>
SUPPORTED_TRANSCRIPTION_LANGS.includes(language.code),
);
export const TRANSCRIPTION_MODELS: TranscriptionModel[] = [
{
id: "whisper-tiny",
name: "Tiny",
huggingFaceId: "onnx-community/whisper-tiny",
description: "Fastest, lower accuracy",
},
{
id: "whisper-small",
name: "Small",
huggingFaceId: "onnx-community/whisper-small",
description: "Good balance of speed and accuracy",
},
{
id: "whisper-medium",
name: "Medium",
huggingFaceId: "onnx-community/whisper-medium",
description: "Higher accuracy, slower",
},
{
id: "whisper-large-v3-turbo",
name: "Large v3 Turbo",
huggingFaceId: "onnx-community/whisper-large-v3-turbo",
description: "Best accuracy, requires WebGPU for good performance",
},
];
export const DEFAULT_TRANSCRIPTION_MODEL: TranscriptionModelId =
"whisper-small";
export const DEFAULT_TRANSCRIPTION_SAMPLE_RATE = 16000;
export const DEFAULT_CHUNK_LENGTH_SECONDS = 30;
export const DEFAULT_STRIDE_SECONDS = 5;
export const DEFAULT_WORDS_PER_CAPTION = 3;
export const MIN_CAPTION_DURATION_SECONDS = 0.8;
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