Voice Cloned TTS (Realtime)

const ws = new WebSocket("wss://api.vachana.ai/api/v1/tts", {
  headers: {
    "Content-Type": "application/json",
    "X-API-Key-ID": "<your-api-key>",
  },
});

ws.on("open", () => {
  const request = {
    text: "नमस्ते, आप कैसे हैं?",
    model: "vachana-vc-v1",
    audio_config: {
      sample_rate: 44100,
      encoding: "linear_pcm",
    },
    speaker_embedding: {
      embedding: "<your-embedding-string>",
      shape: [1, 768],
      dtype: "torch.bfloat16",
    },
  };

  ws.send(JSON.stringify(request));
});

ws.on("message", (data) => {
  // Handle audio chunks
  console.log("Received audio chunk:", data);
});

ws.on("error", (error) => {
  console.error("WebSocket error:", error);
});

ws.on("close", () => {
  console.log("WebSocket connection closed");
});

import websocket
import json

def on_message(ws, message):
    # Handle audio chunks
    print(f"Received audio chunk: {len(message)} bytes")

def on_error(ws, error):
    print(f"Error: {error}")

def on_close(ws, close_status_code, close_msg):
    print("WebSocket connection closed")

def on_open(ws):
    request = {
        "text": "नमस्ते, आप कैसे हैं?",
        "model": "vachana-vc-v1",
        "audio_config": {
            "sample_rate": 44100,
            "encoding": "linear_pcm"
        },
        "speaker_embedding": {
            "embedding": "<your-embedding-string>",
            "shape": [1, 768],
            "dtype": "torch.bfloat16"
        }
    }
    ws.send(json.dumps(request))

ws = websocket.WebSocketApp(
    "wss://api.vachana.ai/api/v1/tts",
    header={
        "Content-Type": "application/json",
        "X-API-Key-ID": "<your-api-key>"
    },
    on_open=on_open,
    on_message=on_message,
    on_error=on_error,
    on_close=on_close
)

ws.run_forever()