Deepgram Aura TTS

import asyncio
import websockets
import json
import base64

async def stream_tts():
    uri = "wss://api.deepgram.com/v1/speak?model=aura-asteria-en&encoding=mulaw&sample_rate=8000"
    
    headers = {
        "Authorization": "Token YOUR_DEEPGRAM_API_KEY"
    }
    
    async with websockets.connect(uri, extra_headers=headers) as websocket:
        # Send text
        await websocket.send(json.dumps({
            "type": "speak",
            "text": "Hello from Deepgram Aura!"
        }))
        
        # Receive audio chunks
        async for message in websocket:
            data = json.loads(message)
            if data.get("type") == "audio":
                audio_data = base64.b64decode(data["data"])
                # Process audio data
                yield audio_data

const WebSocket = require('ws');

const streamTTS = () => {
  const ws = new WebSocket(
    'wss://api.deepgram.com/v1/speak?model=aura-asteria-en&encoding=mulaw&sample_rate=8000',
    {
      headers: {
        'Authorization': 'Token YOUR_DEEPGRAM_API_KEY'
      }
    }
  );

  ws.on('open', () => {
    // Send text to synthesize
    ws.send(JSON.stringify({
      type: 'speak',
      text: 'Hello from Deepgram Aura!'
    }));
  });

  ws.on('message', (data) => {
    const response = JSON.parse(data);
    if (response.type === 'audio') {
      const audioData = Buffer.from(response.data, 'base64');
      // Process audio data
      console.log('Received audio chunk:', audioData.length, 'bytes');
    }
  });
};

# WebSocket connection (conceptual - use a WebSocket client)
wscat -c "wss://api.deepgram.com/v1/speak?model=aura-asteria-en&encoding=mulaw&sample_rate=8000" \
  -H "Authorization: Token YOUR_DEEPGRAM_API_KEY"

# Send JSON message:
{
  "type": "speak",
  "text": "Hello from Deepgram Aura!"
}