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| import streamlit as st | |
| import feature_engine | |
| import pandas as pd | |
| import pickle | |
| st.title("Used car sales price prediction") | |
| # import model | |
| model = pickle.load(open("M2P1_pred.pkl", "rb")) | |
| st.write('Insert features First:') | |
| # user input | |
| odometer = st.slider(label='odometer', min_value=0, max_value=150000, step=1) | |
| powerPS = st.slider(label='powerPS', min_value=1, max_value=923, step=1) | |
| yearOfRegistration = st.slider(label='yearOfRegistration', min_value=1863, max_value=2016, step=1) | |
| gearbox = st.selectbox(label='gearbox', options=['automatik', 'manuell']) | |
| models = st.selectbox(label='model', options=['7er', 'golf', 'a3', 'scirocco', 'e_klasse', 'c_klasse', 'a1', | |
| 'a_klasse', 's_klasse', 'passat', 'corsa', '3er', '1er', '5er', | |
| 'a6', 'a4', 'transporter', 'vito', '100', 'm_klasse', 'lupo', | |
| 'touareg', 'andere', 'touran', 'x_reihe', 'tigra', 'signum', | |
| 'sharan', 'a5', 'beetle', 'phaeton', 'sl', 'insignia', 'up', '80', | |
| 'z_reihe', 'clk', 'vivaro', 'tiguan', 'sprinter', 'astra', 'viano', | |
| 'bora', 'fox', 'polo', 'zafira', 'meriva', 'vectra', 'omega', 'a8', | |
| 'caddy', 'tt', 'eos', 'slk', 'm_reihe', 'glk', 'combo', 'a2', | |
| 'b_klasse', 'cc', 'v_klasse', 'jetta', 'q7', 'cl', '90', 'q3', | |
| 'q5', 'agila', 'calibra', 'kaefer', 'gl', 'amarok', 'antara', | |
| 'kadett', '6er', 'g_klasse', '200']) | |
| fuelType = st.selectbox(label='fuelType', options=['benzin', 'diesel', 'lpg', 'cng', 'andere', 'hybrid', 'elektro']) | |
| brand = st.selectbox(label='brand', options=['volkswagen', 'audi', 'opel', 'mercedes_benz', 'bmw']) | |
| # convert into dataframe | |
| data = pd.DataFrame({'odometer': [odometer], | |
| 'powerPS': [powerPS], | |
| 'yearOfRegistration': [yearOfRegistration], | |
| 'gearbox':[gearbox], | |
| 'model': [models], | |
| 'fuelType': [fuelType], | |
| 'brand': [brand], | |
| }) | |
| data | |
| # model predict | |
| clas = model.predict(data).tolist()[0] | |
| #Intepretation | |
| if st.button('Predict'): | |
| st.write('The used car price is : ', clas, 'USD') | |