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| import gradio as gr | |
| from gradio_leaderboard import Leaderboard | |
| from pathlib import Path | |
| import pandas as pd | |
| from src.styles import custom_css | |
| from src.structures.leaderboard_structure import (LB_LLMZSZL, | |
| ORDER_LIST, | |
| DATA_TYPES, | |
| COLUMN_HEADERS, | |
| filter_data, | |
| filter_columns, | |
| ) | |
| from src.structures.gim import GIM_SCORES | |
| from src.structures.zaw import ZAW_SCORES | |
| from src.structures.mat import MAT_SCORES | |
| from src.structures.osm import OSM_SCORES | |
| global data_component | |
| from src.abouts import * | |
| polygon_svg = """ | |
| <svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" | |
| x="0px" y="0px" viewBox="0 0 200 100" width="200px" height="100px" style="enable-background:new 0 0 200 100;" | |
| xml:space="preserve"> | |
| <style type="text/css"> | |
| .st0{fill:#E52713;} | |
| .st1{fill:#FFFFFF;} | |
| </style> | |
| <g> | |
| <polygon class="st0" points="147.4,97.1 147.4,107.5 137,107.5 137,103.1 126.1,103.1 126.1,104.7 121.3,104.7 121.3,103.1 | |
| 110.8,103.1 110.8,107.5 100.4,107.5 100.4,97.1 110.8,97.1 110.8,101.5 121.3,101.5 121.3,99.9 126.1,99.9 126.1,101.5 137,101.5 | |
| 137,97.1"></polygon> | |
| <polygon class="st0" points="168.3,74.9 168.3,85.3 157.8,85.3 157.8,80.9 137,80.9 137,85.3 126.6,85.3 126.6,80.9 108.7,80.9 | |
| 108.7,89.2 90.4,89.2 90.4,80.9 69.6,80.9 69.6,82.5 64.8,82.5 64.8,80.9 48,80.9 48,85.3 37.5,85.3 37.5,74.9 48,74.9 48,79.3 | |
| 64.8,79.3 64.8,77.7 69.6,77.7 69.6,79.3 90.4,79.3 90.4,70.9 108.7,70.9 108.7,79.3 126.6,79.3 126.6,74.9 137,74.9 137,79.3 | |
| 157.8,79.3 157.8,74.9"></polygon> | |
| <polygon class="st0" points="174.7,51.7 174.7,62.1 164.3,62.1 164.3,57.7 150.3,57.7 150.3,59.3 145.4,59.3 145.4,57.7 | |
| 130.6,57.7 130.6,64.6 115.2,64.6 115.2,57.7 102,57.7 102,59.3 97.2,59.3 97.2,57.7 84.5,57.7 84.5,68.4 61.4,68.4 61.4,57.7 | |
| 51.2,57.7 51.2,62.1 40.8,62.1 40.8,57.7 30.7,57.7 30.7,62.1 20.3,62.1 20.3,51.7 30.7,51.7 30.7,56.1 40.8,56.1 40.8,51.7 | |
| 51.2,51.7 51.2,56.1 61.4,56.1 61.4,45.3 84.5,45.3 84.5,56.1 97.2,56.1 97.2,54.5 102,54.5 102,56.1 115.2,56.1 115.2,49.2 | |
| 130.6,49.2 130.6,56.1 145.4,56.1 145.4,54.5 150.3,54.5 150.3,56.1 164.3,56.1 164.3,51.7"></polygon> | |
| <polygon class="st0" points="155.5,32.2 155.5,42.6 145.1,42.6 145.1,38.2 125.7,38.2 125.7,39.8 120.9,39.8 120.9,38.2 98.7,38.2 | |
| 98.7,42.6 88.3,42.6 88.3,38.2 53.2,38.2 53.2,42.6 42.8,42.6 42.8,32.2 53.2,32.2 53.2,36.6 88.3,36.6 88.3,32.2 98.7,32.2 | |
| 98.7,36.6 120.9,36.6 120.9,35 125.7,35 125.7,36.6 145.1,36.6 145.1,32.2"></polygon> | |
| <polygon class="st0" points="125.6,16.2 125.6,26.6 115.2,26.6 115.2,22.2 102.5,22.2 102.5,23.9 97.7,23.9 97.7,22.2 85.1,22.2 | |
| 85.1,26.6 74.7,26.6 74.7,16.2 85.1,16.2 85.1,20.6 97.7,20.6 97.7,19 102.5,19 102.5,20.6 115.2,20.6 115.2,16.2"></polygon> | |
| <rect x="128" y="116.8" class="st0" width="10.4" height="10.4"></rect> | |
| </g> | |
| </svg> | |
| """ | |
| main = gr.Blocks(css=custom_css) | |
| with main: | |
| gr.HTML(polygon_svg) | |
| 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.Tab("🏅 LLMZSZL"): | |
| gr.Markdown("""## Overall scores""") | |
| # 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=LB_LLMZSZL, | |
| headers=COLUMN_HEADERS, | |
| type="pandas", | |
| datatype=DATA_TYPES, | |
| interactive=False, | |
| visible=True, | |
| column_widths=[400, 200, 100, 120, 100] | |
| ) | |
| # def update_data(selected_columns, selected_languages): | |
| # return update_dataframe(selected_columns, selected_languages) | |
| def update_dataframe(selected_columns): | |
| return filter_columns(selected_columns) | |
| columns_selector.change(update_dataframe, inputs=columns_selector, outputs=data_component) | |
| # language_selector.change(update_data, inputs=[columns_selector, language_selector], outputs=data_component) | |
| with gr.Tab("📝 Middle School exam"): | |
| gr.Markdown(GIM_DESC) | |
| data_component = gr.components.Dataframe( | |
| value=GIM_SCORES, | |
| type="pandas", | |
| interactive=False, | |
| visible=True, | |
| datatype=["markdown"]+["number"]*18, | |
| column_widths=[400] + [80] * 18 | |
| ) | |
| with gr.Tab("📝 8-grade exam"): | |
| gr.Markdown(OSM_DESC) | |
| data_component = gr.components.Dataframe( | |
| value=OSM_SCORES, | |
| type="pandas", | |
| interactive=False, | |
| visible=True, | |
| datatype=["markdown"]+["number"]*5, | |
| column_widths=[400] + [80] * 5 | |
| ) | |
| with gr.Tab("📝 High School exam"): | |
| gr.Markdown(MAT_DESC) | |
| data_component = gr.components.Dataframe( | |
| value=MAT_SCORES, | |
| type="pandas", | |
| interactive=False, | |
| visible=True, | |
| datatype=["markdown"]+["number"]*22, | |
| column_widths=[400] + [80] * 22 | |
| ) | |
| with gr.Tab("📝 Professional exam"): | |
| gr.Markdown(ZAW_DESC) | |
| data_component = gr.components.Dataframe( | |
| value=ZAW_SCORES, | |
| type="pandas", | |
| interactive=False, | |
| visible=True, | |
| datatype=["markdown"]+["number"]*12, | |
| column_widths=[400] + [80] * 12 | |
| ) | |
| with gr.Tab("📝 About"): | |
| gr.Markdown(ABOUT) | |
| with gr.Column(): | |
| with gr.Accordion("📙 Citation", open=False): | |
| citation_button = gr.Textbox( | |
| value="TEST", | |
| label="TEST_LABEL", | |
| lines=20, | |
| elem_id="citation-button", | |
| show_copy_button=True, | |
| ) | |
| if __name__ == "__main__": | |
| main.launch() | |