Update app.py

app.py

@@ -21,7 +21,7 @@ def run():
     def make_predictions(domain_, year_, item_, unit_, flag_, flag_description_, element_, mean_temp_, total_temp_, mrh_, trh_, mrf_, trf_, mean_fert_, total_fert_, mean_pest_, total_pest_):
         X_train = pd.read_csv("xtrain.csv")
         X = X_train.copy()
-        le = OrdinalEncoder()
+        le = OrdinalEncoder(handle_unknown='use_encoded_value', unknown_value=-1)
         le.fit(X_train[["Domain", "Item", "Unit", "Flag Description", "Element"]])
         X_train[["Domain", "Item", "Unit", "Flag Description", "Element"]] = le.transform(X_train[["Domain", "Item", "Unit", "Flag Description", "Element"]])