import streamlit as st
import pandas as pd
import joblib

# Load model & features
model = joblib.load("src/final_model.pkl")
features = joblib.load("src/model_features.pkl")

st.title("🎒 Backpack Price Predictor")

st.write("Enter backpack features to predict price")

input_data = {}

for feature in features:
    input_data[feature] = st.number_input(f"{feature}", value=0.0)

input_df = pd.DataFrame([input_data])

if st.button("Predict"):
    prediction = model.predict(input_df)[0]
    st.success(f"Predicted Price: {prediction:.2f}")