With the model fit, this time

app.py

@@ -19,7 +19,11 @@ def trainme(MedInc, HouseAge, AveRooms, AveBedrms, Population, AveOccup, Latitud
   #Split
   y = pd.DataFrame(data=housing_df['Price']).to_numpy()
   X = housing_df.drop('Price', axis=1).to_numpy()
-
+  
+  #create a machine learning model and train it
+  lineareg = LinearRegression()
+  lineareg.fit(X,y)
+  
   #Create a redable/clean feature list
   clean_features = ['Median income',
  'Median house age',