Unit_AI/node_modules/openai/resources/audio/translations.d.ts
2024-06-01 16:24:36 -04:00

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1.8 KiB
TypeScript

import * as Core from 'openai/core';
import { APIResource } from 'openai/resource';
import * as TranslationsAPI from 'openai/resources/audio/translations';
import { type Uploadable } from 'openai/core';
export declare class Translations extends APIResource {
/**
* Translates audio into English.
*/
create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise<Translation>;
}
export interface Translation {
text: string;
}
export interface TranslationCreateParams {
/**
* The audio file object (not file name) translate, in one of these formats: flac,
* mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
*/
file: Uploadable;
/**
* ID of the model to use. Only `whisper-1` is currently available.
*/
model: (string & {}) | 'whisper-1';
/**
* An optional text to guide the model's style or continue a previous audio
* segment. The
* [prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
* should be in English.
*/
prompt?: string;
/**
* The format of the transcript output, in one of these options: `json`, `text`,
* `srt`, `verbose_json`, or `vtt`.
*/
response_format?: string;
/**
* The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
* output more random, while lower values like 0.2 will make it more focused and
* deterministic. If set to 0, the model will use
* [log probability](https://en.wikipedia.org/wiki/Log_probability) to
* automatically increase the temperature until certain thresholds are hit.
*/
temperature?: number;
}
export declare namespace Translations {
export import Translation = TranslationsAPI.Translation;
export import TranslationCreateParams = TranslationsAPI.TranslationCreateParams;
}
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