Struct openai_api_rust::apis::audio::AudioBody

pub struct AudioBody {
    pub file: File,
    pub model: String,
    pub prompt: Option<String>,
    pub response_format: Option<String>,
    pub temperature: Option<f32>,
    pub language: Option<String>,
}

Fields

file: File

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

model: String

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

prompt: Option<String>

An optional text to guide the model’s style or continue a previous audio segment. The prompt should match the audio language.

response_format: Option<String>

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

temperature: Option<f32>

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.

language: Option<String>

The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency. ISO-639-1: https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes

Trait Implementations

impl Debug for AudioBody

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.