import pandas as pd
import joblib
import streamlit as st
import warnings
warnings.filterwarnings("ignore")

st.set_page_config(page_title="Student Success Prediction", page_icon="💡")

model = joblib.load("lo_model.pkl")
col = joblib.load("columns.pkl")
scaler = joblib.load("Scaler.pkl")

st.title("Student Success Prediction APP 🏆🎖️")
sh = st.number_input("Study Hours",1,20,5)
at = st.slider("Attendance",0.0,100.0,50.0)
ps = st.slider("Past Score",0.0,100.0,50.0)
s = st.number_input("Sleep Hours",4,15,8)
print(model)
if st.button("Predict"):
    try:
        user_input_df = pd.DataFrame([{
            "StudyHours": sh,
            "Attendance": at,
            "PastScore": ps,
            "SleepHours": s
        }])
        user_input_df = user_input_df[col] 
        user_input_scaled = scaler.transform(user_input_df)
        prediction = model.predict(user_input_scaled)
        if prediction[0] == 1:
            st.success("🎉 Result: Pass 😃")
        else:
            st.error("❌ Result: Fail 😥")
            
    except Exception as e:
        st.error(f"Error: {e}")