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trait Audio extends AnyRef

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Abstract Value Members

  1. abstract def createTranscription(body: CreateTranscriptionRequest): ZIO[Any, OpenAIFailure, CreateTranscriptionResponse]

    Transcribes audio into the input language.

  2. abstract def createTranslation(body: CreateTranslationRequest): ZIO[Any, OpenAIFailure, CreateTranslationResponse]

    Translates audio into into English.

Concrete Value Members

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  6. def createTranscription(file: File, model: String, prompt: Optional[String] = Optional.Absent, responseFormat: Optional[String] = Optional.Absent, temperature: Optional[Double] = Optional.Absent): ZIO[Any, OpenAIFailure, CreateTranscriptionResponse]

    Transcribes audio into the input language.

    Transcribes audio into the input language.

    file

    The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.

    model

    ID of the model to use. Only whisper-1 is currently available.

    prompt

    An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.

    responseFormat

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

    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](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.

  7. def createTranslation(file: File, model: String, prompt: Optional[String] = Optional.Absent, responseFormat: Optional[String] = Optional.Absent, temperature: Optional[Double] = Optional.Absent): ZIO[Any, OpenAIFailure, CreateTranslationResponse]

    Translates audio into into English.

    Translates audio into into English.

    file

    The audio file to translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.

    model

    ID of the model to use. Only whisper-1 is currently available.

    prompt

    An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.

    responseFormat

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

    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](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.

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