app.py

import gradio as gr
import pandas as pd

def read_file():
    df = pd.read_csv("./data.csv")
    return df

def count_names(df):
    chris_count = (df["First"] == "Chris").sum()
    loick_count = (df["First"] == "Loïck").sum()
    return chris_count, loick_count

def determine_goat(chris_count, loick_count):
    if chris_count > loick_count:
        return "The current GOAT is: Chris"
    elif loick_count > chris_count:
        return "The current GOAT is: Loïck"
    else:
        return "The current GOAT is: It's a tie between Chris and Loïck"

def process_file():
    df = read_file()
    chris_count, loick_count = count_names(df)
    goat = determine_goat(chris_count, loick_count)
    return df, f"Chris count: {chris_count}, Loïck count: {loick_count}", goat

with gr.Blocks() as demo:
    gr.Markdown("# Leaderboard")

    gr.Markdown(
        "App to find out whether Chris or Loïck is the person who finds the most stuff on Hugging Face in advance."
        "Whoever finds the most by December 31, 2025, will be declared the GOAT and owe the other an O'Tacos."
    )

    process_btn = gr.Button("Process data history")

    df_output = gr.DataFrame(label="DataFrame")
    count_output = gr.Textbox(label="Counts")
    goat_output = gr.Textbox(label="Current GOAT 🐐")

    process_btn.click(
        fn=process_file,
        outputs=[df_output, count_output, goat_output]
    )

demo.launch()