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import pickle | |
import json | |
import pandas as pd | |
import numpy as np | |
import streamlit as st | |
# Load All Files | |
with open('best_param.pkl', 'rb') as file_1: | |
best_params = pickle.load(file_1) | |
with open('preprocessing_pipeline.pkl', 'rb') as file_2: | |
preprocessing_pipeline= pickle.load(file_2) | |
def run (): | |
with st.form(key ='Credit FORM'): #Nulis nama sendiri menggunakan name= st.text_input('') | |
education_level= st.radio('Select Education_level', options=['1','2','3','4','5','6']) | |
sex = st.radio( | |
'Select gender', | |
options=['male','female']) | |
limit_balance= st.text_input('limit_balance', value= 'None') | |
st.markdown('---') | |
pay_0= st.slider('pay_0', min_value=-2,max_value=2,) | |
pay_2= st.slider('pay_2', min_value=-2,max_value=2,) | |
pay_3= st.slider('pay_3', min_value=-2,max_value=2,) | |
pay_4= st.slider('pay_4', min_value=-2,max_value=2,) | |
pay_5= st.slider('pay_5', min_value=-2,max_value=2,) | |
pay_6= st.slider('pay_6', min_value=-2,max_value=2,) | |
submitted = st.form_submit_button('Predict') | |
# Create New Data | |
df_inf={ | |
'limit_balance': limit_balance, | |
'sex': sex, | |
'education_level': education_level , | |
'pay_0': pay_0 , | |
'pay_2': pay_2, | |
'pay_3': pay_3, | |
'pay_4': pay_4, | |
'pay_5': pay_5, | |
'pay_6': pay_6, | |
} | |
df_inf = pd.DataFrame([df_inf]) | |
if submitted: | |
df_inf_best_params = df_inf[best_params] | |
df_inf_classifier= df_inf[preprocessing_pipeline] | |
df_inf_final = np.concatenate([preprocessing_pipeline], axis=1) | |
y_pred_inf = best_params.predict(df_inf_final) | |
st.write(f'# Rating {best_params}:', int(y_pred_inf)) | |
if best_params == '__main__': | |
run() |