trait Audio extends AnyRef
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- abstract def createTranscription(body: CreateTranscriptionRequest): ZIO[Any, OpenAIFailure, CreateTranscriptionResponse]
Transcribes audio into the input language.
- abstract def createTranslation(body: CreateTranslationRequest): ZIO[Any, OpenAIFailure, CreateTranslationResponse]
Translates audio into into English.
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- def createTranscription(file: File, model: String, prompt: Optional[String] = Optional.Absent, responseFormat: Optional[String] = Optional.Absent, temperature: Optional[Double] = Optional.Absent, language: Optional[String] = 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-1is 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.
- language
The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.
- 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-1is 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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