from flask import Flask, request, jsonify, render_template_string import joblib import numpy as np # Load trained model model = joblib.load('house_price_model.pkl') app = Flask(__name__) # Simple HTML UI HTML_PAGE = """ House Price Predictor

House Price Predictor

{% if prediction %}

Predicted Price: ₹ {{ prediction }} Lakhs

{% endif %}

""" @app.route('/', methods=['GET', 'POST']) def home(): prediction = None if request.method == 'POST': area = float(request.form['area']) bath = float(request.form['bath']) bhk = float(request.form['bhk']) location = float(request.form['location']) features = np.array([[area, bath, bhk, location]]) pred = model.predict(features) prediction = round(np.exp(pred[0]), 2) return render_template_string(HTML_PAGE, prediction=prediction) if __name__ == "__main__": import os port = int(os.environ.get("PORT", 7860)) app.run(host="0.0.0.0", port=port)