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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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