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Create yall.py

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  1. yall.py +128 -0
yall.py ADDED
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+ import os
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+ import gistyc
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+ import requests
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+ from dataclasses import dataclass
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+ import re
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+ import streamlit as st
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+
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+ @dataclass
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+ class GistInfo:
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+ gist_id: str
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+ filename: str
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+ url: str
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+ model_name: str
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+ model_id: str
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+ model: str
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+ agieval: float
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+ gpt4all: float
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+ truthfulqa: float
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+ bigbench: float
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+ average: float
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+
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+
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+ def update_gist(content, gist_id, access_token):
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+ """
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+ Update the content of a GitHub Gist.
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+
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+ Args:
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+ content (str): The new content of the gist.
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+ gist_id (str): The ID of the gist to update.
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+ access_token (str): GitHub personal access token with gist permissions.
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+ """
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+ api_url = f"https://api.github.com/gists/{gist_id}"
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+ headers = {
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+ "Authorization": f"token {access_token}",
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+ "Accept": "application/vnd.github.v3+json"
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+ }
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+ data = {
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+ "files": {
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+ "YALL - Yet Another LLM Leaderboard.md": {
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+ "content": content
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+ }
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+ }
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+ }
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+
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+ response = requests.patch(api_url, json=data, headers=headers)
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+
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+ if response.status_code == 200:
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+ print("Gist updated successfully.")
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+ else:
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+ print("Failed to update gist. Status code:", response.status_code)
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+ print("Response:", response.json())
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+
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+
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+ @st.cache_data
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+ def create_yall():
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+ # Get token
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+ GITHUB_API_TOKEN = os.environ.get("github")
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+
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+ # Retrieve all gists
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+ gist_api = gistyc.GISTyc(auth_token=GITHUB_API_TOKEN)
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+ data = gist_api.get_gists()
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+
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+ # List to store the GistInfo objects
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+ gist_infos = []
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+
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+ for data_dict in data:
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+ if 'files' in data_dict and data_dict['files']:
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+ file_info = next(iter(data_dict['files'].values()))
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+ filename = file_info['filename']
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+ if filename.endswith("-Nous.md"):
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+ raw_url = file_info['raw_url']
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+ response = requests.get(raw_url)
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+ if response.status_code == 200:
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+ if "Error: File does not exist" not in response.text:
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+ # Parse the markdown table
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+ lines = response.text.split('\n')
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+ if len(lines) >= 3:
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+ values = lines[2].split('|')[1:-1]
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+
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+ # Extract model name and model id using regular expression
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+ model_match = re.search(r'\[([^\]]+)\]\(https://huggingface.co/([^/]+)/([^)]+)\)', values[0].strip())
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+ if model_match:
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+ model_name = model_match.group(1)
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+ model_id = f"{model_match.group(2)}/{model_match.group(3)}"
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+ print(values[0].strip())
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+ print(model_name)
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+ print(model_id)
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+ print("=============")
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+ else:
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+ model_name = model_id = 'Unknown'
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+
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+
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+ # Parse the markdown table
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+ lines = response.text.split('\n')
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+ if len(lines) >= 3:
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+ values = lines[2].split('|')[1:-1]
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+
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+ # Create a GistInfo object and add it to the list
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+ gist_info = GistInfo(
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+ gist_id=data_dict['id'],
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+ filename=filename,
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+ url=data_dict['html_url'], # Assuming html_url is the URL of the gist
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+ model_name=model_name,
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+ model_id=model_id,
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+ model=values[0].strip(),
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+ agieval=float(values[1].strip()),
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+ gpt4all=float(values[2].strip()),
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+ truthfulqa=float(values[3].strip()),
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+ bigbench=float(values[4].strip()),
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+ average=float(values[5].strip()),
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+ )
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+ gist_infos.append(gist_info)
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+
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+ # Sort the list by average
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+ gist_infos = sorted(gist_infos, key=lambda x: x.average, reverse=True)
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+
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+ # Create markdown table
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+ markdown_table = "| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |\n"
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+ markdown_table += "|---|---:|---:|---:|---:|---:|\n"
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+
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+ for gist in gist_infos:
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+ model_link = f"[{gist.model_id}](https://huggingface.co/{gist.model_id})"
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+ markdown_table += f"| {model_link} [πŸ“„]({gist.url}) | {gist.average} | {gist.agieval} | {gist.gpt4all} | {gist.truthfulqa} | {gist.bigbench} |\n"
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+
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+ # Update YALL's gist
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+ update_gist(content=markdown_table, gist_id="90294929a2dbcb8877f9696f28105fdf", access_token=GITHUB_API_TOKEN)
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+
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+ return markdown_table