Update app.py

app.py

@@ -47,13 +47,13 @@ def price(mileage, make, model, trim, type, cylinder, liter, doors, cruise, soun
     prediction = pipe.predict(input_data)[0]
     return prediction
 
-st.title("Used Car Price Prediction red_car")
+st.title("Used Car Price Prediction :red_car:")
 st.write("Please select the car features.")
 mileage = st.number_input("Mileage", 100, 200000)
 make = st.selectbox("Brand", data["Make"].unique())
 model = st.selectbox("Model", data[data["Make"] == make]["Model"].unique())
 trim = st.selectbox("Trim", data[(data["Make"] == make) & (data["Model"] == model)]["Trim"].unique())
-car_type = st.selectbox("Type", data[(df["Make"] == make) & (data["Model"] == model) & (data["Trim"] == trim)]["Type"].unique())
+car_type = st.selectbox("Type", data[(data["Make"] == make) & (data["Model"] == model) & (data["Trim"] == trim)]["Type"].unique())
 cylinder = st.selectbox("Cylinder", data["Cylinder"].unique())
 liter = st.number_input("Fuel Volume", 1, 10)
 doors = st.selectbox("Doors", data['Doors'].unique())
@@ -62,4 +62,4 @@ sound = st.radio("Sound System", [True, False])
 leather = st.radio("Leather", [True, False])
 if st.button("Prediction"):
     pred = price(mileage, make, model, trim, car_type, cylinder, liter, doors, cruise, sound, leather)
-    st.write("Price ($):", round(pred, 2))
+    st.write("Price ($):", round(pred, 2))