app.py

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

app = Flask(__name__)

# Load the model
model = pickle.load(open('Model.pkl', 'rb'))

@app.route('/')
def home():
    return render_template('index.html')

@app.route('/about')
def about():
    return render_template('about.html')

@app.route('/predict', methods=['POST'])
def predict():
    if request.method == 'POST':
        name = request.form['name']
        company = request.form['company']
        year = int(request.form['year'])
        kms_driven = int(request.form['kms_driven'])
        fuel_type = request.form['fuel_type']
        
        input_df = pd.DataFrame([[name, company, year, kms_driven, fuel_type]],
                                columns=['name', 'company', 'year', 'kms_driven', 'fuel_type'])
        
        prediction = model.predict(input_df)[0]
        prediction = round(prediction, 2)
        
        return render_template('index.html', prediction_text=f"Estimated Price: ₹{prediction:,}")

if __name__ == "__main__":
    app.run(debug=True)