Update app.py

app.py

@@ -65,7 +65,7 @@ def prepare_dataset(example):
 
     return example
 
-processed_example = prepare_dataset(dataset[1])
+processed_example = prepare_dataset(dataset[2])
 speaker_embeddings = torch.tensor(processed_example["speaker_embeddings"]).unsqueeze(0)
 
 # embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")