File size: 5,109 Bytes
6906870
 
 
 
 
 
310a5d6
6906870
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c380c7e
6906870
 
 
 
 
 
c380c7e
310a5d6
6906870
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
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 = 'πŸ“–'
            elif subcol == 'maintainability':
                symbol = 'πŸ”¨'
            elif subcol == 'efficiency':
                symbol = 'πŸš€'
            elif subcol == 'correctness':
                symbol = 'βœ…'
            elif subcol == 'overall':
                symbol = 'πŸ’―'
                
            for key, value in datas.items():
                row[f'{symbol} {key}'] = value

        rows.append(row)
        
    df = pd.DataFrame(rows)
    df = df.sort_values(by='πŸ’― 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> 🏎️RACE 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("πŸ” Evaluation Table", id=0):
                    with gr.Column():
                        with gr.Accordion("⏬ 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("πŸ“ About", id=1):
                    gr.Markdown(ABOUT_TEXT, elem_classes="markdown-text")
                    
        with gr.Row():
            with gr.Accordion("πŸ“™ 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("πŸ™ Acknowledgement", open=False):
                gr.Markdown(ACKNOWLEDGEMENT_TEXT)

demo.launch()