| from flask import Flask, render_template, request, jsonify | |
| import model | |
| app = Flask(__name__) | |
| # Load data and train the model globally | |
| df = model.load_data('AI_Human.csv') # Make sure this path is correct | |
| x_train, x_test, y_train, y_test = model.split_data(df) | |
| pipeline = model.create_pipeline(x_train, y_train) | |
| def home(): | |
| if request.method == 'POST': | |
| data = request.json | |
| user_input = data['text'] | |
| prediction = model.predict_text(user_input, pipeline) | |
| return jsonify({'classification': prediction}) | |
| return render_template('home.html') | |
| if __name__ == '__main__': | |
| app.run(debug=True) | |