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()