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import streamlit as st
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import pandas as pd
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import pickle
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st.write('Model untuk prediksi gagal bayar atau tidak gagal bayar. \
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\n0: Sukses bayar\
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\n1: Telat sebulan\
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\n2: Telat 2 bulan\
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\n3: Telat 3 bulan\
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\n4: Telah lebih dari 3 bulan.')
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def run():
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with open('model.pkl', 'rb') as file:
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full_process = pickle.load(file)
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pay_1 = st.selectbox(label='choose delay payment in a month', options=[0.0, 1.0, 2.0, 3.0, 4.0], key='pay_1')
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pay_2 = st.selectbox(label='choose delay payment in a month', options=[0.0, 1.0, 2.0, 3.0, 4.0], key='pay_2')
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pay_3 = st.selectbox(label='choose delay payment in a month', options=[0.0, 2.0, 3.0, 4.0], key='pay_3')
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pay_4 = st.selectbox(label='choose delay payment in a month', options=[0.0, 2.0, 3.0, 4.0], key='pay_4')
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pay_5 = st.selectbox(label='choose delay payment in a month', options=[0.0, 2.0, 3.0, 4.0], key='pay_5')
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pay_6 = st.selectbox(label='choose delay payment in a month', options=[0.0, 2.0, 3.0, 4.0], key='pay_6')
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limit_balance = st.number_input(label='Limit Balance', key='limit_balance')
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pay_amt_1 = st.number_input(label='Pay Amount 1', key='pay_amt_1')
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pay_amt_2 = st.number_input(label='Pay Amount 2', key='pay_amt_2')
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pay_amt_3 = st.number_input(label='Pay Amount 3', key='pay_amt_3')
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pay_amt_4 = st.number_input(label='Pay Amount 4', key='pay_amt_4')
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pay_amt_6 = st.number_input(label='Pay Amount 6', key='pay_amt_6')
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st.write('In the following is the result of the data you have input:')
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data_inf = pd.DataFrame({
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'pay_1': [pay_1],
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'pay_2': [pay_2],
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'pay_3': [pay_3],
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'pay_4': [pay_4],
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'pay_5': [pay_5],
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'pay_6': [pay_6],
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'Limit Balance': [limit_balance],
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'pay amount 1': [pay_amt_1],
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'pay amount 2': [pay_amt_2],
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'pay amount 3': [pay_amt_3],
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'pay amount 4': [pay_amt_4],
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'pay amount 6': [pay_amt_6]
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})
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st.table(data_inf)
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if st.button(label='Predict'):
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yPred_inf = full_process.predict(data_inf)
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st.metric(label="Here is a prediction of default payment next month:", value=y_pred_inf[0])
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if yPred_inf[0] == 0:
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st.write('Not Default')
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else:
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st.write('Default') |
