Update app.py

app.py

@@ -53,33 +53,6 @@ def train_model(df):
 # Step 5: Deployment with Flask
 app = Flask(__name__)
 
-@app.route('/predict', methods=['POST'])
-def predict():
-    data = request.json
-    input_features = [data['RecentForm'], data['HomeAdvantage']]
-    prediction = model.predict([input_features])[0]
-    return jsonify({'prediction': prediction})
-
-if __name__ == '__main__':
-    # Fetch and preprocess data
-    df = fetch_data()
-    df = preprocess_data(df)
-    df = engineer_features(df)
-    
-    # Train the model
-    model = train_model(df)
-    
-    # Run the Flask app
-    app.run(debug=True, host='0.0.0.0', port=5000)
-    y_pred = model.predict(X_test)
-    mae = mean_absolute_error(y_test, y_pred)
-    print(f"Mean Absolute Error: {mae}")
-    
-    return model
-
-# Step 5: Deployment with Flask
-app = Flask(__name__)
-
 @app.route('/predict', methods=['POST'])
 def predict():
     data = request.json