app.py

from flask import Flask, render_template, request
import joblib
import numpy as np

app = Flask(__name__)

# Load trained model
model = joblib.load("ipl_model.pkl")

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

@app.route('/predict', methods=['POST'])
def predict():
    if request.method == 'POST':
        try:
            unnamed_col = float(request.form['unnamed'])
            price_cr = float(request.form['price'])

            # Prepare input
            sample_input = np.array([[unnamed_col, price_cr]])

            # Predict
            prediction = model.predict(sample_input)[0]

            return render_template("index.html",
                                   prediction_text=f"Predicted Player/Team: {prediction}")
        except Exception as e:
            return render_template("index.html", prediction_text=f"Error: {e}")

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