calahealthgpt / fastchat /serve /monitor /leaderboard_csv_to_html.py
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"""
Convert a leaderboard csv file to html table used in the blog.
Usage:
python3 leaderboard_csv_to_html.py --in leaderboard_table_20230619.csv
"""
import argparse
import numpy as np
from fastchat.serve.monitor.monitor import load_leaderboard_table_csv
def model_hyperlink(model_name, link):
return f'<a target="_blank" href="{link}"> {model_name} </a>'
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input", type=str, required=True)
args = parser.parse_args()
data = load_leaderboard_table_csv(args.input, add_hyperlink=False)
headers = [
"Model",
"MT-bench (score)",
"Arena Elo rating",
"MMLU",
"License",
]
values = []
for item in data:
row = []
for key in headers:
value = item[key]
row.append(value)
row[0] = model_hyperlink(item["Model"], item["Link"])
values.append(row)
values.sort(key=lambda x: -x[1] if not np.isnan(x[1]) else 1e9)
for value in values:
row = "<tr>"
for x in value:
try:
if np.isnan(x):
x = "-"
except TypeError:
pass
row += f" <td>{x}</td> "
row += "</tr>"
print(row)