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| import streamlit as st | |
| import pandas as pd | |
| import joblib | |
| def run(): | |
| st.markdown("<h1 style='text-align: center;'>Welcome to the Credit Default Prediction Model</h1>", unsafe_allow_html=True) | |
| st.markdown("========================================================================================") | |
| st.markdown("<h2 style='text-align: left;'>User Input Features</h2>", unsafe_allow_html=True) | |
| def user_input(): | |
| limit_balance = st.number_input('limit balance', min_value=10000, max_value=100000000, step=10000) | |
| col1,col2= st.columns(2) | |
| pay_1 = col1.slider('pay in september', min_value=-12, max_value=12, format="paid %d month") | |
| pay_2 = col2.slider('pay in august', min_value=-12, max_value=12, format="paid %d month") | |
| pay_3 = col1.slider('pay in july', min_value=-12, max_value=12, format="paid %d month") | |
| pay_4 = col2.slider('pay in june', min_value=-12, max_value=12, format="paid %d month") | |
| pay_5 = col1.slider('pay in may', min_value=-12, max_value=12, format="paid %d month") | |
| pay_6 = col2.slider('pay in april', min_value=-12, max_value=12, format="paid %d month") | |
| data = { | |
| 'limit_balance': limit_balance, | |
| 'pay_0': pay_1, | |
| 'pay_2': pay_2, | |
| 'pay_3': pay_3, | |
| 'pay_4': pay_4, | |
| 'pay_5': pay_5, | |
| 'pay_6': pay_6 | |
| } | |
| features = pd.DataFrame(data, index=[0]) | |
| return features | |
| input = user_input() | |
| st.markdown("<h2 style='text-align: left;'>User Input Result</h2>", unsafe_allow_html=True) | |
| st.table(input) | |
| load_model = joblib.load("my_model.pkl") | |
| if st.button("Predict", help='Click me!' ): | |
| prediction = load_model.predict(input) | |
| if prediction == 1: | |
| prediction = 'Defaulted Payment' | |
| else: | |
| prediction = 'Not Defaulted' | |
| st.markdown("<h4 style='text-align: center;'>Based on user input, the default model is predicted:</h4>", unsafe_allow_html=True) | |
| st.markdown(f"<h1 style='text-align: center;'>{prediction}</h1>", unsafe_allow_html=True) | |