Update app.py

app.py

@@ -219,10 +219,10 @@ def house_price(LotArea, LotFrontage, YearBuilt, GrLivArea, GarageArea):
      'Normal']
 
     df=pd.DataFrame([default], columns = defaultColumns)
-    df.fillna(-1, inplace=True)
     df[categorical_columns] = df[categorical_columns].astype("category")
     df[categorical_columns] = df[categorical_columns].apply(lambda x: x.cat.codes)
     df = (df - df.mean()) / df.std()
+    df.fillna(-1, inplace=True)
 
     predictions = model.predict(df)