from flask import Flask, render_template, request
import pandas as pd
import joblib

app = Flask(__name__)
model = joblib.load("car_price_model.pkl")

@app.route("/", methods=["GET", "POST"])
def predict():
    if request.method == "POST":
        try:
            data = {
                'Brand': request.form['brand'],
                'model': request.form['model'],
                'Year': int(request.form['year']),
                'kmDriven': float(request.form['kmDriven'].replace(',', '').replace(' km', '')),
                'Transmission': request.form['transmission'],
                'Owner': request.form['owner'],
                'FuelType': request.form['fueltype'],
            }
            data['Age'] = 2025 - data['Year']  # Replace with dynamic year if needed
            input_df = pd.DataFrame([data])
            prediction = model.predict(input_df)[0]
            result = f"Estimated Price: ₹{int(prediction):,}"
        except Exception as e:
            result = f"Error: {e}"
        return render_template("index.html", result=result)

    return render_template("index.html", result=None)

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)