用于翻译视频的语音克隆API

import time, requests

AUTH = "https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token"
API  = "https://api.rask.ai"
token = requests.post(AUTH, auth=(CLIENT_ID, CLIENT_SECRET),
                      data={"grant_type": "client_credentials"}).json()["access_token"]
h = {"Authorization": f"Bearer {token}"}

def wait(pid):
    while (p := requests.get(f"{API}/v2/projects/{pid}", headers=h).json())["status"] != "merging_done":
        time.sleep(10)
    return p

video = requests.post(f"{API}/api/library/v1/media/link", headers=h, json={"link": "https://youtu.be/..."}).json()
while video["status"] != "ready":
    time.sleep(5)
    video = requests.get(f"{API}/api/library/v1/media/{video['id']}", headers=h).json()

pid = requests.post(f"{API}/v2/projects", headers=h,
                    json={"video_id": video["id"], "dst_lang": "es-mx"}).json()["id"]
project = wait(pid)

voices = requests.get(f"{API}/v2/projects/{pid}/voices", headers=h).json()
custom = next(v for v in voices if v["label"] == "Maria Lopez")
voice_map = {**project["voice"], "SPEAKER_00": custom["id"]}   # every speaker stays in the map

requests.patch(f"{API}/v2/projects/{pid}", headers=h, json={"voice": voice_map})
requests.post(f"{API}/v2/projects/{pid}/generate", headers=h)
print(wait(pid)["translated_video"])

// no dependencies, Node 18+ global fetch
const API = 'https://api.rask.ai';
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
const auth = await fetch('https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token', {
  method: 'POST',
  headers: { Authorization: 'Basic ' + btoa(`${CLIENT_ID}:${CLIENT_SECRET}`) },
  body: new URLSearchParams({ grant_type: 'client_credentials' }),
}).then((r) => r.json());
const h = { Authorization: `Bearer ${auth.access_token}`, 'Content-Type': 'application/json' };
const call = (method, path, body) => fetch(API + path, { method, headers: h, body: body && JSON.stringify(body) }).then((r) => r.json());
const wait = async (id) => { let p; while ((p = await call('GET', `/v2/projects/${id}`)).status !== 'merging_done') await sleep(10000); return p; };

let video = await call('POST', '/api/library/v1/media/link', { link: 'https://youtu.be/...' });
while (video.status !== 'ready') { await sleep(5000); video = await call('GET', `/api/library/v1/media/${video.id}`); }

const { id } = await call('POST', '/v2/projects', { video_id: video.id, dst_lang: 'es-mx' });
const project = await wait(id);

const voices = await call('GET', `/v2/projects/${id}/voices`);
const custom = voices.find((v) => v.label === 'Maria Lopez');
await call('PATCH', `/v2/projects/${id}`, { voice: { ...project.voice, SPEAKER_00: custom.id } });
await call('POST', `/v2/projects/${id}/generate`);

console.log((await wait(id)).translated_video);

# 1. token (valid 1 hour - cache and reuse it)
TOKEN=$(curl -s -X POST https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token \
  -u "$CLIENT_ID:$CLIENT_SECRET" -d "grant_type=client_credentials" | jq -r .access_token)

# 2. create the dub - Instant Voice Clones are assigned by default
ID=$(curl -s -X POST https://api.rask.ai/v2/projects -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" -d "{\"video_id\": \"$VIDEO_ID\", \"dst_lang\": \"es-mx\"}" | jq -r .id)

# 3. after merging_done: read the current voice map and the voice options
curl -s https://api.rask.ai/v2/projects/$ID -H "Authorization: Bearer $TOKEN" | jq .voice
curl -s https://api.rask.ai/v2/projects/$ID/voices -H "Authorization: Bearer $TOKEN" | jq '.[] | {id, label, gender}'

# 4. assign voices for every speaker, then re-dub
curl -s -X PATCH https://api.rask.ai/v2/projects/$ID -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" -d '{"voice": {"SPEAKER_00": "<custom_voice_id>", "SPEAKER_01": "<voice_id>"}}'
curl -s -X POST https://api.rask.ai/v2/projects/$ID/generate -H "Authorization: Bearer $TOKEN"

<?php
use GuzzleHttp\Client;

$http = new Client(['base_uri' => 'https://api.rask.ai']);
$json = fn($r) => json_decode($r->getBody(), true);
$auth = $json((new Client)->post('https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token',
    ['auth' => [$clientId, $clientSecret], 'form_params' => ['grant_type' => 'client_credentials']]));
$h = ['Authorization' => 'Bearer ' . $auth['access_token']];

$wait = function ($id) use ($http, $h, $json) {
    do { sleep(10); $p = $json($http->get("/v2/projects/$id", ['headers' => $h])); }
    while ($p['status'] !== 'merging_done');
    return $p;
};

$id = $json($http->post('/v2/projects', ['headers' => $h,
    'json' => ['video_id' => $videoId, 'dst_lang' => 'es-mx']]))['id'];
$project = $wait($id);

$voices = $json($http->get("/v2/projects/$id/voices", ['headers' => $h]));
$custom = current(array_filter($voices, fn($v) => $v['label'] === 'Maria Lopez'));
$map = array_merge($project['voice'], ['SPEAKER_00' => $custom['id']]);

$http->patch("/v2/projects/$id", ['headers' => $h, 'json' => ['voice' => $map]]);
$http->post("/v2/projects/$id/generate", ['headers' => $h]);
echo $wait($id)['translated_video'];