# -*- 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'
@st.cache(persist=True)

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()