Update app.py

app.py

@@ -42,7 +42,7 @@ model.eval()
 # Preprocessing function
 def preprocess_ecg(data):
     """Convert input ECG data to PyTorch tensor and prepare for inference."""
-    ecg = np.array(data).astype(np.float32)  # Ensure NumPy array format
+    ecg = np.array(data.split(','), dtype=np.float32)
     ecg = torch.from_numpy(ecg).unsqueeze(0).unsqueeze(0)  # Shape: (1, 1, seq_length)
     return ecg