class

OpenAI::CreateTranslationRequest

Inherits JSON::Serializable < Reference < Object

Constructors

new(file : String = "", model : CreateTranslationRequestModel = "", prompt : String | Nil = nil, response_format : CreateTranslationRequestResponseFormat | Nil = nil, temperature : Float64 | Nil = nil)
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new(*, __pull_for_json_serializable pull : JSON::PullParser)
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Instance methods

file

The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.

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file=(file : String)

The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.

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model

ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.

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model=(model : CreateTranslationRequestModel)

ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.

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prompt

An optional text to guide the model's style or continue a previous audio segment. The prompt should be in English.

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prompt=(prompt : String | Nil)

An optional text to guide the model's style or continue a previous audio segment. The prompt should be in English.

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response_format

The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.

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response_format=(response_format : CreateTranslationRequestResponseFormat | Nil)

The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.

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temperature

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 to automatically increase the temperature until certain thresholds are hit.

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temperature=(temperature : Float64 | Nil)

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 to automatically increase the temperature until certain thresholds are hit.

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