Create handler.py

handler.py

@@ -0,0 +1,22 @@
+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"}