Update handler.py

handler.py

@@ -12,6 +12,7 @@ class EndpointHandler:
         self.embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
 
     def __call__(self, data):
+        
         text = data.get("inputs", "")
         # Extract speaker_embedding using the index from your dataset, or replace with your own logic.
         speaker_embedding = torch.tensor(self.embeddings_dataset[7306]["xvector"]).unsqueeze(0)