Update app.py

app.py

@@ -236,7 +236,8 @@ def infer_batch(ref_audio, ref_text, gen_text_batches, exp_name, remove_silence,
         generated_wave = generated_wave.squeeze().cpu().numpy()
 
 # Append to list
-        generated_waves.append(generated_wave)spectrograms.append(generated_mel_spec[0].cpu().numpy())
+        generated_waves.append(generated_wave)
+       # spectrograms.append(generated_mel_spec[0].cpu().numpy())
 # Ensure generated_mel_spec is in a compatible dtype (e.g., float32) before passing it to numpy
 #        generated_mel_spec = generated_mel_spec.to(dtype=torch.float32)  # Convert to float32 if it's in bfloat16