Audio

Create a translation

POST /openai/v1/audio/translations

Creates a translation from the supplied request.

Cuerpo de la solicitud

The multipart request body.

Content-Type: multipart/form-data

file OpenAI.CreateTranslationRequest requerido

The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. The request must include enough format metadata for the file to be identified. We recommend an extension-bearing filename and an appropriate content type.

model string | enum requerido

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

Cualquiera de las siguientes:

string

enum

whisper-1

prompt string

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

response_format enum

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

jsontextsrtverbose_jsonvtt

temperature OpenAI.CreateTranslationRequest

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.

Respuestas

The request has succeeded.

Cuerpo

Content-Type: application/json

Cualquiera de las siguientes:

text string requerido

language string requerido

The language of the output translation (always english).

duration integer requerido

The duration of the input audio.

text string requerido

The translated text.

segments OpenAI.TranscriptionSegment[]

Segments of the translated text and their corresponding details.

Solicitar

curl https://api.openai.com/v1/audio/translations \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F file="@/path/to/file/german.m4a" \
  -F model="whisper-1"

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
translation = client.audio.translations.create(
    file=b"Example data",
    model="whisper-1",
)
print(translation)

import fs from "fs";
import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
    const translation = await openai.audio.translations.create({
        file: fs.createReadStream("speech.mp3"),
        model: "whisper-1",
    });

    console.log(translation.text);
}
main();

using System;

using OpenAI.Audio;

string audioFilePath = "audio.mp3";

AudioClient client = new(
    model: "whisper-1",
    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
);

AudioTranscription transcription = client.TranscribeAudio(audioFilePath);

Console.WriteLine($"{transcription.Text}");

import fs from 'fs';
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});

const translation = await client.audio.translations.create({
  file: fs.createReadStream('speech.mp3'),
  model: 'whisper-1',
});

console.log(translation);

package main

import (
    "bytes"
    "context"
    "fmt"
    "io"

    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("My API Key"),
    )
    translation, err := client.Audio.Translations.New(context.TODO(), openai.AudioTranslationNewParams{
        File:  io.Reader(bytes.NewBuffer([]byte("Example data"))),
        Model: openai.AudioModelWhisper1,
    })
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", translation)
}

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.audio.AudioModel;
import com.openai.models.audio.translations.TranslationCreateParams;
import com.openai.models.audio.translations.TranslationCreateResponse;
import java.io.ByteArrayInputStream;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        TranslationCreateParams params = TranslationCreateParams.builder()
            .file(new ByteArrayInputStream("Example data".getBytes()))
            .model(AudioModel.WHISPER_1)
            .build();
        TranslationCreateResponse translation = client.audio().translations().create(params);
    }
}

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

translation = openai.audio.translations.create(file: StringIO.new("Example data"), model: :"whisper-1")

puts(translation)

Respuesta

{
  "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
}