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1.  final def !=(arg0: Any): Boolean

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2.  final def ##: Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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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[Audio, 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 createTranscription(body: CreateTranscriptionRequest): ZIO[Audio, OpenAIFailure, CreateTranscriptionResponse]

   Transcribes audio into the input language.

8.  def createTranslation(file: File, model: String, prompt: Optional[String] = Optional.Absent, responseFormat: Optional[String] = Optional.Absent, temperature: Optional[Double] = Optional.Absent): ZIO[Audio, 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.

9.  def createTranslation(body: CreateTranslationRequest): ZIO[Audio, OpenAIFailure, CreateTranslationResponse]

   Translates audio into into English.

10.  def default: ZLayer[Any, Throwable, Audio]
11.  final def eq(arg0: AnyRef): Boolean

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12.  def equals(arg0: AnyRef): Boolean

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13.  def finalize(): Unit

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14.  final def getClass(): Class[_ <: AnyRef]

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15.  def hashCode(): Int

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16.  final def isInstanceOf[T0]: Boolean

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17.  def live: ZLayer[Client, Nothing, Audio]
18.  final def ne(arg0: AnyRef): Boolean

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19.  final def notify(): Unit

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20.  final def notifyAll(): Unit

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21.  final def synchronized[T0](arg0: => T0): T0

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22.  def toString(): String

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23.  final def wait(): Unit

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24.  final def wait(arg0: Long, arg1: Int): Unit

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    @throws(classOf[java.lang.InterruptedException])

25.  final def wait(arg0: Long): Unit

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    @throws(classOf[java.lang.InterruptedException]) @native()