| import httpx | |
| import pandas as pd | |
| from typing import Optional, Dict | |
| import streamlit as st | |
| from src.core.config import settings | |
| async def fetch_leaderboard_data( | |
| model_name: Optional[str] = None, | |
| benchmark_label: Optional[str] = None | |
| ) -> pd.DataFrame: | |
| """Fetch and process leaderboard data""" | |
| params = {} | |
| if model_name and model_name != "All": | |
| params["model_name"] = model_name | |
| if benchmark_label and benchmark_label != "All": | |
| params["benchmark_label"] = benchmark_label | |
| headers = { | |
| "Authorization": f"Bearer {settings.HF_TOKEN}", | |
| "Accept": "application/json" | |
| } | |
| try: | |
| async with httpx.AsyncClient() as client: | |
| response = await client.get( | |
| f"{settings.API_URL}/api/v1/leaderboard", | |
| params=params, | |
| headers=headers, | |
| follow_redirects=True | |
| ) | |
| response.raise_for_status() | |
| data = response.json() | |
| return pd.DataFrame(data) | |
| except Exception as e: | |
| st.error(f"Error fetching data: {str(e)}") | |
| if hasattr(e, 'response'): | |
| st.error(f"Response: {e.response.text}") | |
| return pd.DataFrame() |