语音#

通过 OpenAI 兼容语音接口进行语音转写和音频翻译。

本文只覆盖当前生产模型目录中已验证可用的语音接口。

可用接口#

投入生产前，请用 GET /v1/models 确认模型可用。

语音转写#

将音频转为文字。

请求#

curl https://api.unigateway.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $UNIGATEWAY_API_KEY" \
  -F model="whisper-1" \
  -F file=@/path/to/audio.mp3

响应#

{
  "text": "你好，这是语音转写服务的测试。"
}

参数#

翻译#

将音频直接翻译为英文。

请求#

curl https://api.unigateway.ai/v1/audio/translations \
  -H "Authorization: Bearer $UNIGATEWAY_API_KEY" \
  -F model="whisper-1" \
  -F file=@/path/to/audio.mp3

响应#

{
  "text": "Hello, this is a test of the audio transcription service."
}

参数#

Python#

from openai import OpenAI

client = OpenAI(
    api_key="<YOUR_UNIGATEWAY_API_KEY>",
    base_url="https://api.unigateway.ai/v1",
)

with open("audio.mp3", "rb") as f:
    transcription = client.audio.transcriptions.create(
        model="whisper-1",
        file=f,
    )
print(transcription.text)

with open("audio.mp3", "rb") as f:
    translation = client.audio.translations.create(
        model="whisper-1",
        file=f,
    )
print(translation.text)

TypeScript#

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

const client = new OpenAI({
  apiKey: process.env.UNIGATEWAY_API_KEY,
  baseURL: "https://api.unigateway.ai/v1",
});

const transcription = await client.audio.transcriptions.create({
  model: "whisper-1",
  file: fs.createReadStream("audio.mp3"),
});
console.log(transcription.text);

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

常见错误#