50 lines
1.9 KiB
TypeScript
50 lines
1.9 KiB
TypeScript
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import * as Core from "../../core.js";
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import { APIResource } from "../../resource.js";
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import * as TranslationsAPI from "./translations.js";
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import { type Uploadable } from "../../core.js";
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export declare class Translations extends APIResource {
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/**
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* Translates audio into English.
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*/
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create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise<Translation>;
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}
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export interface Translation {
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text: string;
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}
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export interface TranslationCreateParams {
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/**
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* The audio file object (not file name) translate, in one of these formats: flac,
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* mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
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*/
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file: Uploadable;
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/**
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* ID of the model to use. Only `whisper-1` (which is powered by our open source
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* Whisper V2 model) is currently available.
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*/
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model: (string & {}) | 'whisper-1';
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/**
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* An optional text to guide the model's style or continue a previous audio
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* segment. The
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* [prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
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* should be in English.
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*/
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prompt?: string;
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/**
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* The format of the transcript output, in one of these options: `json`, `text`,
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* `srt`, `verbose_json`, or `vtt`.
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*/
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response_format?: string;
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/**
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* The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
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* output more random, while lower values like 0.2 will make it more focused and
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* deterministic. If set to 0, the model will use
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* [log probability](https://en.wikipedia.org/wiki/Log_probability) to
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* automatically increase the temperature until certain thresholds are hit.
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*/
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temperature?: number;
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}
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export declare namespace Translations {
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export import Translation = TranslationsAPI.Translation;
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export import TranslationCreateParams = TranslationsAPI.TranslationCreateParams;
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}
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//# sourceMappingURL=translations.d.ts.map
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