Upload

app.py

@@ -50,7 +50,7 @@ def enhance(filepath):
         # load & resample
         wav, orig_sr = librosa.load(filepath, sr=None)
         if orig_sr != 16000:
-            wav = librosa.resample(wav, orig_sr, 16000)
+            wav = librosa.resample(wav, orig_sr=orig_sr, target_sr=16000)
         x = torch.from_numpy(wav).float().to(device)
         norm = torch.sqrt(len(x)/torch.sum(x**2))
         x = (x * norm).unsqueeze(0)
@@ -63,7 +63,7 @@ def enhance(filepath):
 
         # back to original rate
         if orig_sr != 16000:
-            out = librosa.resample(out, 16000, orig_sr)
+            out = librosa.resample(out, orig_sr=16000, target_sr=orig_sr)
 
         # write file
         sf.write("enhanced.wav", out, orig_sr)