Update app.py

app.py

@@ -101,7 +101,7 @@ def predict(text, speaker):
     # input_ids = input_ids[..., :model.config.max_text_positions]
 
     ### ### ### 
-    example = dataset['train'][825]
+    example = dataset['train'][888]
     speaker_embeddings = torch.tensor(example["speaker_embeddings"]).unsqueeze(0)
     
     spectrogram = model.generate_speech(inputs["input_ids"], speaker_embeddings)