app.py

import gradio as gr
import pandas as pd
import os

# # clone / pull the lmeh eval data
# TOKEN = os.environ.get("TOKEN", None)
# RESULTS_REPO = f"lukecq/SeaExam-results"
# CACHE_PATH=os.getenv("HF_HOME", ".")
# EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")

# Load the CSV file
def load_csv(file_path):
    data = pd.read_csv(file_path)
    return data

# Example path to your CSV file
csv_path = './results/SeaExam_results_0419.csv'
data = load_csv(csv_path)

def show_data():
    return data

iface = gr.Interface(fn=show_data, inputs = None, outputs="dataframe", title="SeaExam Leaderboard", 
                     description="Leaderboard for the SeaExam competition.")
iface.launch()