main.py

from flask import Flask, render_template, request
import pickle

# filename = 'src/model.pkl'
# classifier = pickle.load(open(filename, 'rb'))
# transformer = pickle.load(open('src/transformer.pkl','rb'))
app = Flask(__name__)

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

# @app.route('/predict',methods=['POST'])
# def predict():
#     if request.method == 'POST':
#         message = request.form['message']
#         data = [message]
#         vect = transformer.transform(data).toarray()
#         my_prediction = classifier.predict(vect)
#         return render_template('result.html', prediction=my_prediction)

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