Upload 3 files

app.py

@@ -0,0 +1,117 @@
+# 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 = """
+	<div style ="background-color:gry;padding:13px">
+	<h1 style ="color:gray;text-align:center;">Streamlit Hotel Reservation Prediction ML App </h1>
+	</div>
+	"""
+	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()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbd11e44c7aff6b8935f7c643c7b07480fee9b79514d53d377fc8650c672e179
+size 457070

requirements.txt

@@ -0,0 +1,5 @@
+pandas
+numpy
+pickle5
+streamlit
+scikit-learn