Update app.py

app.py

@@ -110,7 +110,7 @@ def predict_hemoglobin(age, gender, image):
         features_df = pd.DataFrame([features])
 
         # Load the trained model, scaler, and label encoder
-        svr_model = joblib.load('svr_model(1).pkl')  # Replace with the actual path to your model file
+        svr_model = joblib.load('svr_model (1).pkl')  # Replace with the actual path to your model file
         scaler = joblib.load('minmax_scaler.pkl')     # Replace with the actual path to your scaler file
 
         # Ensure that features_df matches the expected training feature set (without 'Hgb')