Mettre en file d'attente une génération audio

curl --request POST \
  --url https://api.venice.ai/api/v1/audio/queue \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "elevenlabs-music",
  "prompt": "A warm spoken narration introducing a product launch.",
  "lyrics_prompt": "Verse 1: Walking through the city lights...",
  "duration_seconds": 60,
  "force_instrumental": false,
  "lyrics_optimizer": false,
  "loop": false,
  "voice": "Aria",
  "language_code": "en",
  "speed": 1
}
'

import requests

url = "https://api.venice.ai/api/v1/audio/queue"

payload = {
    "model": "elevenlabs-music",
    "prompt": "A warm spoken narration introducing a product launch.",
    "lyrics_prompt": "Verse 1: Walking through the city lights...",
    "duration_seconds": 60,
    "force_instrumental": False,
    "lyrics_optimizer": False,
    "loop": False,
    "voice": "Aria",
    "language_code": "en",
    "speed": 1
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'elevenlabs-music',
    prompt: 'A warm spoken narration introducing a product launch.',
    lyrics_prompt: 'Verse 1: Walking through the city lights...',
    duration_seconds: 60,
    force_instrumental: false,
    lyrics_optimizer: false,
    loop: false,
    voice: 'Aria',
    language_code: 'en',
    speed: 1
  })
};

fetch('https://api.venice.ai/api/v1/audio/queue', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.venice.ai/api/v1/audio/queue",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => 'elevenlabs-music',
    'prompt' => 'A warm spoken narration introducing a product launch.',
    'lyrics_prompt' => 'Verse 1: Walking through the city lights...',
    'duration_seconds' => 60,
    'force_instrumental' => false,
    'lyrics_optimizer' => false,
    'loop' => false,
    'voice' => 'Aria',
    'language_code' => 'en',
    'speed' => 1
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.venice.ai/api/v1/audio/queue"

	payload := strings.NewReader("{\n  \"model\": \"elevenlabs-music\",\n  \"prompt\": \"A warm spoken narration introducing a product launch.\",\n  \"lyrics_prompt\": \"Verse 1: Walking through the city lights...\",\n  \"duration_seconds\": 60,\n  \"force_instrumental\": false,\n  \"lyrics_optimizer\": false,\n  \"loop\": false,\n  \"voice\": \"Aria\",\n  \"language_code\": \"en\",\n  \"speed\": 1\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.venice.ai/api/v1/audio/queue")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"elevenlabs-music\",\n  \"prompt\": \"A warm spoken narration introducing a product launch.\",\n  \"lyrics_prompt\": \"Verse 1: Walking through the city lights...\",\n  \"duration_seconds\": 60,\n  \"force_instrumental\": false,\n  \"lyrics_optimizer\": false,\n  \"loop\": false,\n  \"voice\": \"Aria\",\n  \"language_code\": \"en\",\n  \"speed\": 1\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.venice.ai/api/v1/audio/queue")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"elevenlabs-music\",\n  \"prompt\": \"A warm spoken narration introducing a product launch.\",\n  \"lyrics_prompt\": \"Verse 1: Walking through the city lights...\",\n  \"duration_seconds\": 60,\n  \"force_instrumental\": false,\n  \"lyrics_optimizer\": false,\n  \"loop\": false,\n  \"voice\": \"Aria\",\n  \"language_code\": \"en\",\n  \"speed\": 1\n}"

response = http.request(request)
puts response.read_body

{
  "model": "elevenlabs-music",
  "queue_id": "123e4567-e89b-12d3-a456-426614174000",
  "status": "QUEUED"
}

{
  "error": "<string>",
  "details": {
    "_errors": [],
    "field": {
      "_errors": [
        "Field is required"
      ]
    }
  }
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>",
  "suggested_prompt": "A cinematic instrumental track inspired by stormy weather and dramatic tension."
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}