# pickling the model import pandas as pd import numpy as np import pickle import streamlit as st from PIL import Image # loading in the model to predict on the data pickle_in = open('model.pkl', 'rb') model = pickle.load(pickle_in) def welcome(): return 'welcome all' def prediction(no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, type_of_meal_plan, required_car_parking_space, room_type_reserved, lead_time, arrival_year, arrival_month, arrival_date, market_segment_type, repeated_guest, no_of_previous_cancellations, no_of_previous_bookings_not_canceled, avg_price_per_room, no_of_special_requests): prediction = model.predict( [[no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, type_of_meal_plan, required_car_parking_space, room_type_reserved, lead_time, arrival_year, arrival_month, arrival_date, market_segment_type, repeated_guest, no_of_previous_cancellations, no_of_previous_bookings_not_canceled, avg_price_per_room, no_of_special_requests]]) print(prediction) return prediction def main(): st.title("Hotel Reservation Prediction") html_temp = """

Streamlit Hotel Reservation Prediction ML App

""" st.markdown(html_temp, unsafe_allow_html = True) result ="" no_of_adults = st.slider('No of Adults', 0, 4, 0) st.write("You Selected", no_of_adults, 'Adults') no_of_children = st.slider('no_of_children', 0, 10, 0) st.write("You Selected", no_of_children, 'no_of_children') no_of_weekend_nights = st.slider('no_of_weekend_nights', 0, 7, 0) st.write("You Selected", no_of_weekend_nights, 'Adults') no_of_week_nights = st.slider('no_of_week_nights', 0, 17, 0) st.write("You Selected", no_of_week_nights, 'Adults') type_of_meal_plan = st.slider('type_of_meal_plan', 0, 3, 0) st.write("You Selected", type_of_meal_plan, 'Adults') required_car_parking_space = st.slider('required_car_parking_space', 0, 1, 0) if required_car_parking_space == 0: parking = 'Yes' else: parking ='No' st.write("You Selected", parking, 'Adults') room_type_reserved = st.slider('room_type_reserved', 0, 6, 0) st.write("You Selected", room_type_reserved, 'Adults') lead_time = st.slider('lead_time', 0, 450, 0) st.write("You Selected", lead_time, 'Adults') arrival_year = st.selectbox( '2017', '2018') st.write("You Selected", arrival_year, 'Adults') arrival_month = st.slider('arrival_month', 1, 12, 0) st.write("You Selected", arrival_month, 'Adults') arrival_date = st.slider('arrival_date', 1, 31, 0) st.write("You Selected", arrival_date, 'Adults') market_segment_type = st.slider('market_segment_type', 0, 4, 0) st.write("You Selected", market_segment_type, 'Adults') repeated_guest = st.slider('repeated_guest', 0, 1, 0) st.write("You Selected", repeated_guest, 'Adults') no_of_previous_cancellations = st.slider('no_of_previous_cancellations', 0, 13, 0) st.write("You Selected", no_of_previous_cancellations, 'Adults') no_of_previous_bookings_not_canceled = st.slider('no_of_previous_bookings_not_canceled', 0, 60, 0) st.write("You Selected", no_of_previous_bookings_not_canceled, 'Adults') avg_price_per_room = st.slider('avg_price_per_room', 0, 540, 0) st.write("You Selected", avg_price_per_room, 'Adults') no_of_special_requests = st.slider('no_of_special_requests', 0, 5, 0) st.write("You Selected", no_of_special_requests, 'Adults') if st.button("Predict"): result = prediction(no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, type_of_meal_plan, required_car_parking_space, room_type_reserved, lead_time, arrival_year, arrival_month, arrival_date, market_segment_type, repeated_guest, no_of_previous_cancellations, no_of_previous_bookings_not_canceled, avg_price_per_room, no_of_special_requests) # st.success('The output is {0}'.format(result)) if result == 0: result = 'Not Cancelled' elif result == 1: result = 'Cancelled' st.success('The Reservation is {0}'.format(result)) if __name__=='__main__': main()