app.py

#write a python streamlit quote generator with a famous quotes dataset.  Load the quotes.csv dataset from a file.  When the program starts generate a random set of ten quotes and show them to the user.  On the streamlit sidebar give the user a button to regenerate the random list of ten quotes with a search textbox and button with the default value for the quote search to be courage.  if the search button is used perform a dataframe query on the set of quotes.  If search is used allow retrieval of up to 1000 quotes that have the search keyword anywhere within the text of a single line from the csv file.

import streamlit as st
import pandas as pd
import numpy as np

# Load the dataset
quotes = pd.read_csv('quotes.csv', index_col=0)

# Start the Streamlit App
st.title('Quote Generator')

# Generate a random set of ten quotes
quotes_random = quotes.sample(10)
st.write(quotes_random)

# On the sidebar, give user a button to regenerate the random list of ten quotes
if st.button('Regenerate Quotes'):
    quotes_random = quotes.sample(10)
    st.write(quotes_random)

#add three search buttons to search the dataframe columns
search_quote = st.text_input(label='Search Quote')
search_author = st.text_input(label='Search Author')
search_category = st.text_input(label='Search Category')

if st.button('Search'):
    quotes_search = quotes[quotes['quote'].str.contains(search_quote, case=False)]
    quotes_search1 = quotes_search[quotes_search['author'].str.contains(search_author, case=False)]
    quotes_search2 = quotes_search1[quotes_search1['category'].str.contains(search_category, case=False)].head(1000)
    st.write(quotes_search2)