import streamlit as st
import numpy as np
import joblib

model = joblib.load("src/model.pkl")

st.set_page_config(
    page_icon= "💵",
    page_title= "Check loan Status",
    layout= "wide",
    menu_items={
        'About': "faizwajidkhatri@gmail.com   Data Science student"
    }
)

st.title("Loan Status Checker")
st.write("Please enter the details of the applicant:")

person_age=st.slider("Age of the applicant", min_value=18, max_value=100, step=1)
person_gender=st.selectbox("Gender of the applicant", options=[0, 1])
person_eduation=st.selectbox("Highest education level", options=[0, 1, 2, 3, 4, 5])
person_income=st.number_input("Annual income of the applicant", min_value=1000, max_value=1000000, step=1000)
person_emp_exp=st.number_input("Years of employment experience", min_value=0, max_value=50, step=1)
person_home_ownership=st.selectbox("Type of home ownership", options=[0, 1, 2, 3])
loan_amnt=st.number_input("Loan amount requested", min_value=1000, max_value=500000, step=1000)
loan_intent=st.selectbox("Purpose of the loan", options=[0, 1, 2, 3, 4, 5])
loan_int_rate=st.number_input("Interest rate on the loan (%)", min_value=0.0, max_value=100.0, step=0.1)
loan_percent_income=st.number_input("Loan amount as a percentage of income", min_value=0.0, max_value=100.0, step=0.1)
cb_person_cred_hist_length=st.slider("Credit history length (in years)", min_value=0, max_value=50, step=1)
credit_score=st.slider("Credit score", min_value=300, max_value=850, step=1)
previous_loan_defaults_on_file=st.selectbox("Previous loan defaults on file", options=[0, 1])

if st.button("Predict Loan Approval"):
    input = np.array([[
        person_age,
        person_gender,
        person_eduation,
        person_income,
        person_emp_exp,
        person_home_ownership,
        loan_amnt,
        loan_intent,
        loan_int_rate,
        loan_percent_income,
        cb_person_cred_hist_length,
        credit_score,
        previous_loan_defaults_on_file
    ]])
    prediction = model.predict(input)[0]
    result = 'approved' if prediction == 1 else 'rejected'
    st.success(f"Predicted status: {result}")