from typing import Dict, Any
import torch
# Import your specific VITS inference pipeline here

class EndpointHandler:
    def __init__(self, path=""):
        # 1. Load your VITS model weights from 'path'
        # 2. Load your config.json parameters
        self.device = "cuda" if torch.cuda.is_available() else "cpu"
        
    def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
        """
        data: JSON payload sent to the API
        """
        # 1. Get the text to synthesize
        text = data.get("inputs", "")
        
        # 2. Run your VITS text-to-speech generation logic here
        # audio_data = self.model(text)
        
        # 3. Return the audio (usually base64 encoded or raw bytes)
        return {"audio": "base64_encoded_audio_string_here"}