Create app.py

app.py

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+#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)
+
+# Search textbox and button with the default value for the quote search to be courage
+search_term = st.text_input(label='Search Term', value='courage')
+if st.button('Search'):
+    quotes_search = quotes[quotes['text'].str.contains(search_term, case=False)].head(1000)
+    st.write(quotes_search)