Update app.py

app.py

@@ -21,7 +21,7 @@ speaker_model = EncoderClassifier.from_hparams(
 
 # Load a sample from the dataset for speaker embedding
 try:
-    dataset = load_dataset("ucalyptus/train-bn", split="train", trust_remote_code=True)
+    dataset = load_dataset("Sajjo/bangala_data_v3", split="train", trust_remote_code=True)
     dataset = dataset.cast_column("audio", Audio(sampling_rate=16000))
     sample = dataset[0]
     speaker_embedding = create_speaker_embedding(sample['audio']['array'])