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| from flask import Flask, request, jsonify, render_template_string
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| import joblib
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| import numpy as np
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|
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| model = joblib.load('house_price_model.pkl')
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|
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| app = Flask(__name__)
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| HTML_PAGE = """
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| <!DOCTYPE html>
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| <html>
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| <head>
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| <title>House Price Predictor</title>
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| <style>
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| body {
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| font-family: Arial, sans-serif;
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| background-color: #121212;
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| color: white;
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| display: flex;
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| justify-content: center;
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| align-items: center;
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| height: 100vh;
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| margin: 0;
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| }
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|
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| .container {
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| background: #1e1e1e;
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| padding: 30px;
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| border-radius: 12px;
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| width: 350px;
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| box-shadow: 0 0 15px rgba(0,0,0,0.4);
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| }
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| h1 {
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| text-align: center;
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| margin-bottom: 25px;
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| }
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|
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| input {
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| width: 100%;
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| padding: 10px;
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| margin-top: 10px;
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| border-radius: 6px;
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| border: none;
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| font-size: 16px;
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| }
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| button {
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| width: 100%;
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| padding: 12px;
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| margin-top: 20px;
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| background: #00b894;
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| color: white;
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| border: none;
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| border-radius: 6px;
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| font-size: 16px;
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| cursor: pointer;
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| }
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| button:hover {
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| background: #00a383;
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| }
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| .result {
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| margin-top: 20px;
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| text-align: center;
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| font-size: 20px;
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| font-weight: bold;
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| color: #00ff99;
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| }
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| </style>
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| </head>
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| <body>
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|
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| <div class="container">
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| <h1>House Price Predictor</h1>
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|
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| <form method="POST">
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| <input type="number" name="area" placeholder="Area in sqft" required>
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|
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| <input type="number" name="bath" placeholder="Bathrooms" required>
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|
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| <input type="number" name="bhk" placeholder="BHK" required>
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| <input type="number" step="0.01" name="location" placeholder="Location Avg Price" required>
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|
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| <button type="submit">Predict Price</button>
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| </form>
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| {% if prediction %}
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| <div class="result">
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| Predicted Price: ₹ {{ prediction }} Lakhs
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| </div>
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| {% endif %}
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| </div>
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|
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| </body>
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| </html>
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| """
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|
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| @app.route('/', methods=['GET', 'POST'])
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| def home():
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|
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| prediction = None
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|
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| if request.method == 'POST':
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|
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| area = float(request.form['area'])
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| bath = float(request.form['bath'])
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| bhk = float(request.form['bhk'])
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| location = float(request.form['location'])
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|
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| features = np.array([[area, bath, bhk, location]])
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|
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| pred = model.predict(features)
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|
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| prediction = round(np.exp(pred[0]), 2)
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|
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| return render_template_string(HTML_PAGE, prediction=prediction)
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| if __name__ == "__main__":
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| import os
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|
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| port = int(os.environ.get("PORT", 7860))
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|
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| app.run(host="0.0.0.0", port=port)
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|
