app.py

import pickle
import flask
import pandas as pd

with open(f'model/bike_model_xgboost.pkl','rb') as f:
    model=pickle.load(f)

app=flask.Flask(__name__,template_folder='templates')
@app.route('/', methods=['GET','POST'])
def main():

    if flask.request.method == 'GET':
        return flask.render_template('main.html')

    if flask.request.method == 'POST':
        temperature=flask.request.form['temperature']
        humidity=flask.request.form['humidity']
        windspeed=flask.request.form['windspeed']

        input_variables=pd.DataFrame([[temperature,humidity,windspeed]],columns=['temperature','humidity','windspeed'],dtype=float)
        prediction=model.predict(input_variables)[0]

        return flask.render_template('main.html',original_input={'Temperature':temperature,'Humidity':humidity,'Windspeed':windspeed},result=prediction)
if __name__=='__main__':
    app.run()