import httpx
import numpy as np
import soundfile as sf

payload = {
    "model_id": "asyncflow_v2.0",
    "transcript": "Welcome to Async, where imagination meets intelligent speech synthesis.",
    "voice": { "mode": "id", "id": "your voice id" },
    "output_format": {
        "container": "raw",
        "encoding": "pcm_s16le",
        "sample_rate": 16000
    }
}

headers = {
    "X-Api-Key": "your-api-key"
}

url = "https://api.async.ai/text_to_speech/streaming"
audio_data = bytearray()

with httpx.Client(http2=True, verify=False) as client:
    with client.stream("POST", url, json=payload, headers=headers) as response:
        for chunk in response.iter_bytes():
            audio_data.extend(chunk)

audio_np = np.frombuffer(audio_data, dtype=np.int16).astype(np.float32) / 32768.0
sf.write("output.wav", audio_np, samplerate=16000)
print("Audio saved to output.wav")