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import gradio as gr
from src.styles import custom_css, polygon_svg
from src.structures.all_structure import (
ALL_ACCS,
STYLED
# ALL_DATA_TYPES,
# ALL_ORDER_LIST
)
from src.structures.pes_structure import (PES_ACCS,
ORDER_LIST,
DATA_TYPES,
COLUMN_HEADERS,
filter_data,
filter_columns,
)
from src.abouts import *
from src.structures.lek_structure import (
LEK_ACCS,
ORDER_LIST_LEK,
COLUMN_HEADERS_LEK,
DATA_TYPES_LEK,
filter_columns_lek
)
from src.structures.ldek_structure import (
LDEK_ACCS,
ORDER_LIST_LDEK,
COLUMN_HEADERS_LDEK,
DATA_TYPES_LDEK,
filter_columns_ldek
)
global data_component
global data_component_ldek
main = gr.Blocks(css=custom_css)
with main:
with gr.Row():
with gr.Column():
# image = gr.Image("src/images/logo.png",
# show_download_button=False,
# show_share_button=False,
# show_fullscreen_button=False,
# container=False)
gr.HTML(polygon_svg)
with gr.Column():
gr.HTML(HEADER_TITLE)
with gr.Tabs(elem_classes="tab-buttons") as tabs:
with gr.TabItem("🥇 Medical leaderboard"):
gr.Markdown(LEADERBOARD_DESC)
data_component = gr.components.Dataframe(
value=STYLED,
type="pandas",
datatype=["markdown"],
interactive=False,
visible=True,
show_label=True,
column_widths=[400,150,150,150,150]
)
with gr.TabItem("🏥 PES"):
gr.Markdown(PES_DESC)
# Checkbox to toggle column visibility
columns_selector = gr.CheckboxGroup(
choices=ORDER_LIST,
label="Select columns to display",
value=ORDER_LIST,
)
# Dataframe component to display the leaderboard data
data_component = gr.components.Dataframe(
value=PES_ACCS,
headers=COLUMN_HEADERS,
type="pandas",
datatype=DATA_TYPES,
interactive=False,
visible=True,
# column_widths=[400] + [250] * (len(COLUMN_HEADERS) - 1)
)
def update_dataframe(selected_columns):
return filter_columns(selected_columns)
columns_selector.change(update_dataframe, inputs=columns_selector, outputs=data_component)
with gr.TabItem("🦷 LDEK"):
gr.Markdown(LDEK_DESC)
columns_selector = gr.CheckboxGroup(
choices=ORDER_LIST_LDEK,
label="Select columns to display",
value=ORDER_LIST_LDEK,
)
data_component_ldek = gr.components.Dataframe(
value=LDEK_ACCS,
headers=COLUMN_HEADERS_LDEK,
type="pandas",
datatype=DATA_TYPES_LDEK,
interactive=False,
visible=True,
column_widths=[400] + [155] * 23
)
def update_dataframe(selected_columns):
return filter_columns_ldek(selected_columns)
columns_selector.change(update_dataframe, inputs=columns_selector, outputs=data_component_ldek)
with gr.TabItem("🩺 LEK"):
gr.Markdown(LEK_DESC)
columns_selector = gr.CheckboxGroup(
choices=ORDER_LIST_LEK,
label="Select columns to display",
value=ORDER_LIST_LEK,
)
data_component_ldek = gr.components.Dataframe(
value=LEK_ACCS,
headers=COLUMN_HEADERS_LEK,
type="pandas",
datatype=DATA_TYPES_LEK,
interactive=False,
visible=True,
column_widths=[400] + [155] * 23
)
def update_dataframe(selected_columns):
return filter_columns_lek(selected_columns)
columns_selector.change(update_dataframe, inputs=columns_selector, outputs=data_component_ldek)
with gr.Column():
with gr.Accordion("📙 Citation", open=False):
citation_button = gr.Textbox(
label=CITATION_LABEL,
value=CITATION_CONTENT,
lines=20,
elem_id="citation-button",
show_copy_button=True,
)
if __name__ == "__main__":
main.launch()
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