Update app.py

app.py

@@ -22,9 +22,9 @@ from sklearn.pipeline import Pipeline
 # ls
 
 df=pd.read_excel("cars.xls")
-df
+# df
 
-df.info()
+# df.info()
 
 """## Veri Ön işleme"""
 
@@ -50,7 +50,7 @@ print("R2",r2_score(y_test,y_pred))
 # pip install streamlit
 
 import streamlit as st
-def price(make,model,trim,milage,car_type,cylinder,liter,doors,cruise,sound,leather):
+def price(make,model,trim,mileage,car_type,cylinder,liter,doors,cruise,sound,leather):
     input_data=pd.DataFrame({'Make':[make],
                              'Model':[model],
                              'Trim':[trim],