import streamlit as st
import pandas as pd
import joblib

# Modeli yüklüyoruz
model = joblib.load("src/calorie_catboost_model.pkl")

st.title("Calorie Expenditure Predictor")

st.write("""
Bu uygulama yaş, cinsiyet, boy, kilo ve egzersiz bilgilerini kullanarak
yaklaşık yakılan kalori miktarını tahmin eder.
""")

sex = st.selectbox("Cinsiyet", ["Female", "Male"])
age = st.slider("Yaş", 18, 80, 30)
height = st.slider("Boy (cm)", 120, 220, 170)
weight = st.slider("Kilo (kg)", 30, 150, 70)
duration = st.slider("Egzersiz Süresi (dakika)", 1, 30, 15)
heart_rate = st.slider("Kalp Atış Hızı", 60, 140, 90)
body_temp = st.slider("Vücut Sıcaklığı", 36.0, 42.0, 37.5)

sex = 1 if sex == "Male" else 0

# Feature Engineering
bmi = weight / ((height / 100) ** 2)
heartrate_duration = heart_rate * duration
temp_duration = body_temp * duration
age_duration = age * duration

veri = pd.DataFrame({
    "Sex": [sex],
    "Age": [age],
    "Height": [height],
    "Weight": [weight],
    "Duration": [duration],
    "Heart_Rate": [heart_rate],
    "Body_Temp": [body_temp],
    "BMI": [bmi],
    "HeartRate_Duration": [heartrate_duration],
    "Temp_Duration": [temp_duration],
    "Age_Duration": [age_duration]
})

if st.button("Tahmin Yap"):
    tahmin = model.predict(veri)[0]

    st.success(
        f"Tahmini Yakılan Kalori: {tahmin:.2f} kcal"
    )