Fix spectrogram issue

app.py

@@ -60,8 +60,8 @@ def enhance(filepath, model_name):
     model.eval()
     with torch.no_grad():
         # load & resample
-        noisy_wav, orig_sr = librosa.load(filepath, sr=None)
-        wav = noisy_wav
+        wav, orig_sr = librosa.load(filepath, sr=None)
+        noisy_wav = wav.copy()
         if orig_sr != 16000:
             wav = librosa.resample(wav, orig_sr=orig_sr, target_sr=16000)
         x = torch.from_numpy(wav).float().to(device)