Update app.py

app.py

@@ -198,7 +198,7 @@ def infer_batch(ref_audio, ref_text, gen_text_batches, exp_name, remove_silence,
     audio_segment = remove_silence_edges(audio_segment, silence_threshold=-42)
 
 # Convert back to PyTorch tensor
-    audio_np_trimmed = np.array(audio_segment.get_array_of_samples(), dtype=np.float32) / (2**15)
+    audio_np_trimmed = np.array(audio_segment.get_array_of_samples(), dtype=np.float16) / (2**15)
     audio = torch.from_numpy(audio_np_trimmed).unsqueeze(0)
 
     audio = audio.to(device)