Update app.py

app.py

@@ -26,7 +26,7 @@ def text2speech(model, text):
         synthesiser = pipeline("text-to-speech", model=model)
         
         embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
-        speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
+        speaker_embedding = torch.tensor(embeddings_dataset[4535]["xvector"]).unsqueeze(0)
         
         speech = synthesiser(text, forward_params={"speaker_embeddings": speaker_embedding})
         audio_data = np.frombuffer(speech["audio"], dtype=np.float32)