Update handler.py

handler.py

@@ -23,8 +23,9 @@ class EndpointHandler:
             self.model= SpeechT5ForTextToSpeech.from_pretrained(checkpoint)
             self.processor = SpeechT5Processor.from_pretrained(checkpoint)
             self.vocoder = SpeechT5HifiGan.from_pretrained(vocoder_id)
-            embeddings_dataset = load_dataset(dataset_id, split="validation", trust_remote_code=True)
-            self.embeddings_dataset = embeddings_dataset
+
+        embeddings_dataset = load_dataset(dataset_id, split="validation", trust_remote_code=True)
+        self.embeddings_dataset = embeddings_dataset
             
         self.speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)