Update app.py

app.py

@@ -58,7 +58,7 @@ def infer_birdcall(model, mp3_file, segment_length=500, device="cuda"):
     sequence = torch.stack(segment_tensors, dim=0).unsqueeze(0).to(device)
     output = model(sequence)
     pred = torch.max(output, dim=1)[1].cpu().numpy()[0]
-    with open('class_names.json', 'r') as f:
+    with open('class_mapping.json', 'r') as f:
         class_names = json.load(f)
     predicted_bird = class_names[pred]
     return predicted_bird