app.py

import gradio as gr
import pandas as pd

# Load the results
elo_df = pd.read_csv("elo-20240326.csv")

text_description = """
# 🤼 LLM Colosseum Leaderboard

LLM Colosseum is a new way to assess the relative performance of LLMs. We have them play Street Fighter III against each other, and we use the results to calculate their Elo ratings.

Watch a demo of LLMs playing Street Fighter III [here](https://youtu.be/Kk8foX3dm2I).  
More info in the LLM Colosseum GitHub [repository](https://github.com/OpenGenerativeAI/llm-colosseum).
"""

with gr.Blocks(
    title="LLM Colosseum Leaderboard",
) as demo:
    gr.Markdown(text_description)
    gr.Dataframe(value=elo_df, interactive=False)

demo.launch()