app.py

# -*- coding: utf-8 -*-
"""
Created on Wed Dec 16 11:30:53 2020

@author: TRANG THOMAS
"""
import numpy as np
import pickle
import sklearn
from flask import Flask,render_template,request,jsonify






app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))



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


@app.route('/predict',methods=['POST'])
def predict():

    int_features = [int(x) for x in request.form.values()]
    final_features = [np.array(int_features)]
    prediction = model.predict(final_features)

    output = round(prediction[0],2)

    return render_template('index.html', prediction_text='The predicted number of rented bikes is {}'.format(output))



 


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