Resemble AI

import base64
import os

import requests

GATEWAY_BASE_URL = "{GATEWAY_BASE_URL}"
TFY_API_KEY = os.environ.get("TFY_API_KEY", "your-tfy-api-key")

# providerAccountName = Custom Endpoint account name
# endpointName = integration display name
URL = f"{GATEWAY_BASE_URL}/proxy-api/{providerAccountName}/{endpointName}/"

HEADERS = {
    "Authorization": f"Bearer {TFY_API_KEY}",
    "Content-Type": "application/json",
    # Recommended for consistent binary/base64 handling with some proxies
    "Accept-Encoding": "identity",
}

BODY = {
    "voice_uuid": "55592656",
    "data": "Hello from Resemble!",
}

OUTPUT_FILE = "output_audio.wav"

response = requests.post(URL, headers=HEADERS, json=BODY, timeout=120)
response.raise_for_status()

audio_b64 = response.json()["audio_content"]
with open(OUTPUT_FILE, "wb") as f:
    f.write(base64.b64decode(audio_b64))

print(f"saved: {OUTPUT_FILE}")