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,
)