Update app.py

app.py

@@ -136,8 +136,8 @@ def voice_conversion(source, target, diffusion_steps, length_adjust, inference_c
     ref_audio = librosa.load(target, sr=sr)[0]
 
     # Process audio
-    source_audio = torch.tensor(source_audio[:sr * 30]).unsqueeze(0).float().to(device)
-    ref_audio = torch.tensor(ref_audio[:sr * 30]).unsqueeze(0).float().to(device)
+    source_audio = torch.tensor(source_audio).unsqueeze(0).float().to(device)
+    ref_audio = torch.tensor(ref_audio[:sr * 25]).unsqueeze(0).float().to(device)
 
     # Resample
     source_waves_16k = torchaudio.functional.resample(source_audio, sr, 16000)