Integrate regression model

interface.py

@@ -1,5 +1,8 @@
 from tkinter import *
 from tkinter import messagebox
+import pickle
+import numpy as np
+from sklearn.preprocessing import StandardScaler
 
 window = Tk()
 window.minsize(width=600, height=600)
@@ -37,6 +40,7 @@ wartosc_regresji = Label()
 wartosc_regresji.config(text="Wartosć przewidywana", background="#ffffff")
 wartosc_regresji.grid(column=1, row=4, sticky='w')
 
+model = pickle.load(open("model.pkl", 'rb'))
 
 
 def val_numbers():
@@ -50,7 +54,12 @@ def val_numbers():
         messagebox.showinfo(title="Error", message=f"Please provide numbers between 0 to 100 for floors and 0 to 100.000 for metric area.")
     else:
         confirm = messagebox.askyesno(title="Confirm", message="Do you want to start prediction?")
-
+        if confirm == True:
+            array = np.array([[int(pietro_entry.get()),float(metraz_entry.get())]])
+            scaler = StandardScaler()
+            transformed_data = scaler.fit_transform(array)
+            prediction = model.predict(transformed_data)
+            wartosc_regresji.config(text=f'{round(prediction[0][0], 2)} PLN')
             
 
 start_button = Button(command=val_numbers)