add audios files

app.py

@@ -141,6 +141,9 @@ def _fn(
     print("Audio Array Dtype:", audio_array.dtype)
     print("Max Value in Audio Array:", torch.max(audio_array))
     print("Min Value in Audio Array:", torch.min(audio_array))
+    print("Sampling rate type: ", type(sampling_rate))
+    print("Denoised sampling rate type: ", type(denoised_audio[0]))
+    print("Enhanced sampling rate type: ", type(enhanced_audio[0]))
 
     # Return all outputs
     return (

tts.py

@@ -374,7 +374,7 @@ class BambaraTTS:
         end_time = time.time()
 
         audio = torch.tensor(out["wav"]).unsqueeze(0).cpu()
-        sampling_rate = self.config.model_args.output_sample_rate
+        sampling_rate = torch.tensor(self.config.model_args.output_sample_rate).cpu().item()
 
         self.log(f"Speech generated in {end_time - start_time:.2f} seconds.")