app.py

import streamlit as st
import joblib


html_temp = """
    <div style="background-color:tomato;padding:10px">
    <h2 style="color:white;text-align:center;">Streamlit ML App for CO2 Emission Prediction </h2>
    </div>
    """
st.markdown(html_temp, unsafe_allow_html=True)

image_url="https://www.greengeeks.com/blog/wp-content/uploads/2018/12/carbon-emissions.jpg"

st.image(image_url,  use_container_width=True)



# Make
options_make = ['ACURA', 'ALFA ROMEO', 'ASTON MARTIN', 'AUDI', 'BENTLEY', 'BMW',
       'BUICK', 'CADILLAC', 'CHEVROLET', 'CHRYSLER', 'DODGE', 'FIAT',
       'FORD', 'GMC', 'HONDA', 'HYUNDAI', 'INFINITI', 'JAGUAR', 'JEEP',
       'KIA', 'LAMBORGHINI', 'LAND ROVER', 'LEXUS', 'LINCOLN', 'MASERATI',
       'MAZDA', 'MERCEDES-BENZ', 'MINI', 'MITSUBISHI', 'NISSAN',
       'PORSCHE', 'RAM', 'ROLLS-ROYCE', 'SCION', 'SMART', 'SRT', 'SUBARU',
       'TOYOTA', 'VOLKSWAGEN', 'VOLVO', 'GENESIS', 'BUGATTI']
make= st.selectbox('Choose an make:', options_make)
make_value=options_make.index(make)

# Vehicle_Class_input
options_Vechile_class=['COMPACT', 'SUV - SMALL', 'MID-SIZE', 'TWO-SEATER', 'MINICOMPACT',
       'SUBCOMPACT', 'FULL-SIZE', 'STATION WAGON - SMALL',
       'SUV - STANDARD', 'VAN - CARGO', 'VAN - PASSENGER',
       'PICKUP TRUCK - STANDARD', 'MINIVAN', 'SPECIAL PURPOSE VEHICLE',
       'STATION WAGON - MID-SIZE', 'PICKUP TRUCK - SMALL']
Vehicle_Class_input = st.selectbox('Choose an Vehicle Class:', options_Vechile_class)
vechicle_class_value=options_Vechile_class.index(Vehicle_Class_input)

# Engine_Size
Engine_Size=float(st.slider("Slide Size of the Engine",min_value=0,max_value=8,value=1))

#cylinder
options_cylinder=[ 4,  6, 12,  8, 10,  3,  5, 16]
Cylinders =(st.selectbox('Choose an Cylinders:', options_cylinder))
Cylinders_value=options_cylinder.index(Cylinders)

# Transmission
options_Transmission=['AS5', 'M6', 'AV7', 'AS6', 'AM6', 'A6', 'AM7', 'AV8', 'AS8', 'A7',
       'A8', 'M7', 'A4', 'M5', 'AV', 'A5', 'AS7', 'A9', 'AS9', 'AV6',
       'AS4', 'AM5', 'AM8', 'AM9', 'AS10', 'A10', 'AV10']
Transmison=st.selectbox("Choose an Transmision",options_Transmission)
Transmison_values=options_Transmission.index(Transmison)

# fuel type
option_fuel_type=['Z', 'D', 'X', 'E', 'N']
fuel_Type=st.selectbox('Select Type of the Fuel',option_fuel_type)
fuel_Type_value=option_fuel_type.index(fuel_Type)


Fuel_Consumption_City=st.slider('slide the Fuel_Consumption in the City',min_value=4,max_value=30,value=1)

Fuel_Consumption_Hwy=st.slider("slide the Fuel Consumption in the Hwy ",min_value=4,max_value=20,value=1)

Fuel_Consumption_Comb=st.slider('slide the Fuel Consumption Comb ',min_value=4,max_value=26,value=1)

Fuel_Consumption_Comb1=(st.slider('enter the Fuel_Consumption Comb1:',min_value=11,max_value=69,value=1))


model=joblib.load("co2_emission_model.joblib")
    

if st.button('submit'):
    output=model.predict([[make_value,vechicle_class_value,Engine_Size,Cylinders_value,Transmison_values,fuel_Type_value,
                       Fuel_Consumption_City,Fuel_Consumption_Hwy,Fuel_Consumption_Comb,Fuel_Consumption_Comb1]])
    
    st.text_area('',output[0])