Spaces:
Running
Running
File size: 4,824 Bytes
3d13fcf |
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 |
import os
import gistyc
import requests
from dataclasses import dataclass
import re
import streamlit as st
@dataclass
class GistInfo:
gist_id: str
filename: str
url: str
model_name: str
model_id: str
model: str
agieval: float
gpt4all: float
truthfulqa: float
bigbench: float
average: float
def update_gist(content, gist_id, access_token):
"""
Update the content of a GitHub Gist.
Args:
content (str): The new content of the gist.
gist_id (str): The ID of the gist to update.
access_token (str): GitHub personal access token with gist permissions.
"""
api_url = f"https://api.github.com/gists/{gist_id}"
headers = {
"Authorization": f"token {access_token}",
"Accept": "application/vnd.github.v3+json"
}
data = {
"files": {
"YALL - Yet Another LLM Leaderboard.md": {
"content": content
}
}
}
response = requests.patch(api_url, json=data, headers=headers)
if response.status_code == 200:
print("Gist updated successfully.")
else:
print("Failed to update gist. Status code:", response.status_code)
print("Response:", response.json())
@st.cache_data
def create_yall():
# Get token
GITHUB_API_TOKEN = os.environ.get("github")
# Retrieve all gists
gist_api = gistyc.GISTyc(auth_token=GITHUB_API_TOKEN)
data = gist_api.get_gists()
# List to store the GistInfo objects
gist_infos = []
for data_dict in data:
if 'files' in data_dict and data_dict['files']:
file_info = next(iter(data_dict['files'].values()))
filename = file_info['filename']
if filename.endswith("-Nous.md"):
raw_url = file_info['raw_url']
response = requests.get(raw_url)
if response.status_code == 200:
if "Error: File does not exist" not in response.text:
# Parse the markdown table
lines = response.text.split('\n')
if len(lines) >= 3:
values = lines[2].split('|')[1:-1]
# Extract model name and model id using regular expression
model_match = re.search(r'\[([^\]]+)\]\(https://huggingface.co./([^/]+)/([^)]+)\)', values[0].strip())
if model_match:
model_name = model_match.group(1)
model_id = f"{model_match.group(2)}/{model_match.group(3)}"
print(values[0].strip())
print(model_name)
print(model_id)
print("=============")
else:
model_name = model_id = 'Unknown'
# Parse the markdown table
lines = response.text.split('\n')
if len(lines) >= 3:
values = lines[2].split('|')[1:-1]
# Create a GistInfo object and add it to the list
gist_info = GistInfo(
gist_id=data_dict['id'],
filename=filename,
url=data_dict['html_url'], # Assuming html_url is the URL of the gist
model_name=model_name,
model_id=model_id,
model=values[0].strip(),
agieval=float(values[1].strip()),
gpt4all=float(values[2].strip()),
truthfulqa=float(values[3].strip()),
bigbench=float(values[4].strip()),
average=float(values[5].strip()),
)
gist_infos.append(gist_info)
# Sort the list by average
gist_infos = sorted(gist_infos, key=lambda x: x.average, reverse=True)
# Create markdown table
markdown_table = "| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |\n"
markdown_table += "|---|---:|---:|---:|---:|---:|\n"
for gist in gist_infos:
model_link = f"[{gist.model_id}](https://huggingface.co./{gist.model_id})"
markdown_table += f"| {model_link} [📄]({gist.url}) | {gist.average} | {gist.agieval} | {gist.gpt4all} | {gist.truthfulqa} | {gist.bigbench} |\n"
# Update YALL's gist
update_gist(content=markdown_table, gist_id="90294929a2dbcb8877f9696f28105fdf", access_token=GITHUB_API_TOKEN)
return markdown_table |