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import json | |
import gradio as gr | |
import pandas as pd | |
from css_html import custom_css | |
from text_content import ABOUT_TEXT, CITATION_BUTTON_TEXT, CITATION_BUTTON_LABEL, ACKNOWLEDGEMENT_TEXT, NOTES_TEXT, HEAD_TEXT | |
from utils import ( | |
AutoEvalColumn, | |
fields, | |
) | |
result_path = './RESULTS.json' | |
with open(result_path, 'r') as f: | |
data = json.load(f) | |
rows = [] | |
for col, subcols in data.items(): | |
row = {"model": col} | |
for subcol, datas in subcols.items(): | |
if subcol == 'readability': | |
symbol = 'π' | |
elif subcol == 'maintainability': | |
symbol = 'π¨' | |
elif subcol == 'efficiency': | |
symbol = 'π' | |
elif subcol == 'correctness': | |
symbol = 'β ' | |
elif subcol == 'overall': | |
symbol = 'π―' | |
for key, value in datas.items(): | |
row[f'{symbol} {key}'] = value | |
rows.append(row) | |
df = pd.DataFrame(rows) | |
df = df.sort_values(by='π― RACE Score', ascending=False) | |
COLS = [c.name for c in fields(AutoEvalColumn) if not c.hidden] | |
TYPES = [c.type for c in fields(AutoEvalColumn) if not c.hidden] | |
COLS_LITE = [ | |
c.name for c in fields(AutoEvalColumn) if c.displayed_by_default and not c.hidden | |
] | |
TYPES_LITE = [ | |
c.type for c in fields(AutoEvalColumn) if c.displayed_by_default and not c.hidden | |
] | |
def select_columns(df, columns): | |
always_here_cols = [ | |
AutoEvalColumn.model.name, | |
] | |
# We use COLS to maintain sorting | |
filtered_df = df[ | |
always_here_cols + [c for c in COLS if c in df.columns and c in columns] | |
] | |
return filtered_df | |
demo = gr.Blocks(css=custom_css) | |
with demo: | |
with gr.Column(): | |
gr.Markdown( | |
"""<div style="text-align: center;"><h1> ποΈRACE Leaderboard</h1></div>\ | |
<br>\ | |
""", | |
elem_classes="markdown-text", | |
) | |
gr.Markdown(HEAD_TEXT, elem_classes="markdown-text") | |
with gr.Tabs(elem_classes="tab-buttons") as tabs: | |
with gr.Column(): | |
with gr.Tabs(elem_classes="A100-tabs") as A100_tabs: | |
with gr.TabItem("π Evaluation Table", id=0): | |
with gr.Column(): | |
with gr.Accordion("β¬ Hidden Columns", open=False): | |
shown_columns = gr.CheckboxGroup( | |
choices=[ | |
c | |
for c in COLS | |
if c | |
not in [ | |
AutoEvalColumn.model.name, | |
] | |
], | |
value=[ | |
c | |
for c in COLS_LITE | |
if c | |
not in [ | |
AutoEvalColumn.model.name, | |
] | |
], | |
label="", | |
elem_id="column-select", | |
interactive=True, | |
) | |
leaderboard_df = gr.components.Dataframe( | |
value=df[ | |
[ | |
AutoEvalColumn.model.name, | |
] | |
+ shown_columns.value | |
], | |
headers=COLS, | |
datatype=TYPES, | |
elem_id="leaderboard-table", | |
interactive=False, | |
) | |
hidden_leaderboard_df = gr.components.Dataframe( | |
value=df, | |
headers=COLS, | |
datatype=["str" for _ in range(len(COLS))], | |
visible=False, | |
) | |
shown_columns.change( | |
select_columns, | |
[hidden_leaderboard_df, shown_columns], | |
leaderboard_df, | |
) | |
gr.Markdown(NOTES_TEXT, elem_classes="markdown-text") | |
with gr.TabItem("π About", id=1): | |
gr.Markdown(ABOUT_TEXT, elem_classes="markdown-text") | |
with gr.Row(): | |
with gr.Accordion("π Citation", open=False): | |
citation_button = gr.Textbox( | |
value=CITATION_BUTTON_TEXT, | |
label=CITATION_BUTTON_LABEL, | |
lines=10, | |
elem_id="citation-button", | |
show_copy_button=True, | |
) | |
with gr.Row(): | |
with gr.Accordion("π Acknowledgement", open=False): | |
gr.Markdown(ACKNOWLEDGEMENT_TEXT) | |
demo.launch() |