def generate_audio()

in wearable/main.py [0:0]

• 26 lines of code
• 1 McCabe index (conditional complexity)

def generate_audio(text: str) -> str:
    # Use the credentials to authenticate your API request
    headers = {
        "Authorization": f"Bearer {get_token()}",
        "Content-Type": "application/json",
    }

    # Speech recognition API endpoint
    url = urlunparse(
        URLComponents(
            netloc="texttospeech.googleapis.com",
            path=["v1", "text:synthesize"],
        ).to_tuple()
    )

    # Sample request data
    data = {
        "audioConfig": {
            "audioEncoding": "LINEAR16",
        },
        "input": {"text": text},
        "voice": {"languageCode": "en-US", "name": "en-US-Journey-F"},
    }

    # Make the API request
    response = requests.post(url, headers=headers, data=json.dumps(data))

    audio_data = base64.b64decode(response.json()["audioContent"])

    segment = AudioSegment.from_file(io.BytesIO(audio_data), format="wav")
    # Inject a little silence at the beginning to prime the bluetooth
    # device; otherwise, first few words get truncated.
    silence = AudioSegment.silent(duration=500)

    # pydub can also play without forcing recourse to serialization;
    # cost-benefit?
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
        logging.info(f"Synthesizing to {f.name}.")
        (silence + segment).export(f.name, format="wav")
        return f.name