Audio

Create a translation

POST /openai/v1/audio/translations

Creates a translation from the supplied request.

Anforderungstext

The multipart request body.

Content-Type: multipart/form-data

file OpenAI.CreateTranslationRequest Erforderlich

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 Erforderlich

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

Eines der folgenden Elemente:

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.

Antworten

The request has succeeded.

Text

Content-Type: application/json

Eines der folgenden Elemente:

text string Erforderlich

language string Erforderlich

The language of the output translation (always english).

duration integer Erforderlich

The duration of the input audio.

text string Erforderlich

The translated text.

segments OpenAI.TranscriptionSegment[]

Segments of the translated text and their corresponding details.

Anfordern

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)

Antwort

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