This demonstrates the st.cache function

cache_example.py

import streamlit as st
import pandas as pd

# Reuse this data across runs!
read_and_cache_csv = st.cache(pd.read_csv)

BUCKET = "https://streamlit-self-driving.s3-us-west-2.amazonaws.com/"
data = read_and_cache_csv(BUCKET + "labels.csv.gz", nrows=1000)
desired_label = st.selectbox('Filter to:', ['car', 'truck'])
st.write(data[data.label == desired_label])

You can run this gist directly from the command line with:

pip install --upgrade streamlit
streamlit run https://gist.githubusercontent.com/treuille/c633dc8bc86efaa98eb8abe76478aa81/raw/2019640b6a9ff5da5ab6d5b11b3345ddc764b285/cache_example.py