| 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() |