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import pandas as pd
import streamlit as st
@st.cache_data
def load_data():
return pd.DataFrame(
{
"apps": [
"https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/5435b8cb-6c6c-490b-9608-799b543655d3/Home_Page.png",
"https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/ef9a7627-13f2-47e5-8f65-3f69bb38a5c2/Home_Page.png",
"https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/31b99099-8eae-4ff8-aa89-042895ed3843/Home_Page.png",
"https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/6a399b09-241e-4ae7-a31f-7640dc1d181e/Home_Page.png",
],
}
)
data_df = load_data()
st.data_editor(
data_df,
column_config={
"apps": st.column_config.ImageColumn(
"Preview Image", help="Streamlit app preview screenshots"
)
},
hide_index=True,
)
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