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# -*- coding: utf-8 -*- | |
"""[Nicole_Lovold_Egar]Assignment 2.ipynb | |
Automatically generated by Colaboratory. | |
Original file is located at | |
https://colab.research.google.com/drive/1j5EomK04JF-H3FM_TdzSDk_US55nJd36?authuser=1#scrollTo=yPBTmhHvcyNk | |
""" | |
import streamlit as st | |
import pandas as pd | |
import plotly.express as px | |
import urllib | |
st.title("Rest Easy! Find your London Hotel") | |
st.markdown("In just a few moments, you'll find the place that fits all your needs") | |
text = st.text_input('Please describe what you are looking for in a hotel:') | |
n_results = st.slider('How many hotel results would you like to see?', 1,5,3) | |
dataurl = 'https://colab.research.google.com/drive/1j5EomK04JF-H3FM_TdzSDk_US55nJd36?authuser=1#scrollTo=yPBTmhHvcyNk' | |
def load_data(): | |
data_url = urllib.request.urlopen('https://colab.research.google.com/drive/1j5EomK04JF-H3FM_TdzSDk_US55nJd36?authuser=1#scrollTo=yPBTmhHvcyNk') | |
df = pd.read_csv('HotelListInLondon__en2019100120191005.csv') | |
return(df) | |
if st.button('Show Hotels'): | |
if len(text) <10: | |
st.write('Please describe your ideal hotel in greater detail') | |
def run(): | |
st.subheader("Your hotels") | |
df = load_data() | |
st.dataframe(df) | |
#st.table(df) | |
#st.write(df) | |
if __name__ == '__main__': | |
run() | |