Update app.py

app.py

@@ -9,11 +9,7 @@ model = ScoreModel.load_from_checkpoint("pretrained_checkpoints/speech_enhanceme
 
 def enhance_speech(audio_file):
     # Load and process the audio file
-    noisy, sr = torchaudio.load(audio_file)
-    noisy = noisy.unsqueeze(0)  # Add fake batch dimension if needed
-    
-    if sr != target_sr:
-        y = torch.tensor(resample(y.numpy(), orig_sr=sr, target_sr=target_sr))
+    y, sr = torchaudio.load(audio_file)
 
     T_orig = y.size(1)