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Create yall.py
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yall.py
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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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@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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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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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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response = requests.patch(api_url, json=data, headers=headers)
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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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@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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# 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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# List to store the GistInfo objects
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gist_infos = []
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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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# 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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# 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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# 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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# 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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# 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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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} [📄]({gist.url}) | {gist.average} | {gist.agieval} | {gist.gpt4all} | {gist.truthfulqa} | {gist.bigbench} |\n"
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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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return markdown_table
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