Update app.py

app.py

@@ -163,12 +163,12 @@ def _infer(
     # Watermarking ensures transparency, dissuades misuse, and enables traceability.
     # Please be a responsible AI citizen and keep the watermarking in place.
     # If using CSM 1B in another application, use your own private key and keep it secret.
-    audio_tensor, wm_sample_rate = watermark(
-        generator._watermarker, audio_tensor, generator.sample_rate, CSM_1B_HF_WATERMARK
-    )
-    audio_tensor = torchaudio.functional.resample(
-        audio_tensor, orig_freq=wm_sample_rate, new_freq=generator.sample_rate
-    )
+    # audio_tensor, wm_sample_rate = watermark(
+    #    generator._watermarker, audio_tensor, generator.sample_rate, CSM_1B_HF_WATERMARK
+    # )
+    #audio_tensor = torchaudio.functional.resample(
+    #    audio_tensor, orig_freq=wm_sample_rate, new_freq=generator.sample_rate
+    #)
 
     audio_array = (audio_tensor * 32768).to(torch.int16).cpu().numpy()