app.py

import gradio as gr
import pandas as pd
from gradio_leaderboard import Leaderboard, SelectColumns, ColumnFilter

TITLE = "<h1>M-RewardBench Leaderboard</h1>"
INTRODUCTION_TEXT = "https://m-rewardbench.github.io/"
GOOGLE_SHEET_URL = "https://docs.google.com/spreadsheets/d/1qrD7plUdrBwAw7G6UeDVZAaV9ihxaNAcoiKwSaqotR4/export?gid=0&format=csv"
ABOUT_TEXT = """Welcome to M-RewardBench Leaderboard!"""


class AutoEvalColumn:
  model = {
    "name": "Model",
    "type": "markdown",
    "displayed_by_default": True,
    "never_hidden": True,
  }
  
  model_type = {
    "name": "Model_Type",
    "type": "markdown",
    "displayed_by_default": True,
    "never_hidden": True,
  }
  
  eng_Latn = {
    "name": "eng_Latn",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  Avg_Multilingual = {
    "name": "Avg_Multilingual",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  arb_Arab = {
    "name": "arb_Arab",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  tur_Latn = {
    "name": "tur_Latn",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  rus_Cyrl = {
    "name": "rus_Cyrl",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  ces_Latn = {
    "name": "ces_Latn",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  pol_Latn = {
    "name": "pol_Latn",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }
  
  kor_Hang = {
    "name": "kor_Hang",
    "type": "float",
    "displayed_by_default": True,
    "never_hidden": False,
  }					


def get_result_data():
  return pd.read_csv(GOOGLE_SHEET_URL)


def init_leaderboard(dataframe):
  if dataframe is None or dataframe.empty:
    raise ValueError("Leaderboard DataFrame is empty or None.")

  return Leaderboard(
    value=dataframe,
    datatype=[
      col["type"]
      for col in AutoEvalColumn.__dict__.values()
      if isinstance(col, dict)
    ],
    select_columns=SelectColumns(
      default_selection=[
        col["name"]
        for col in AutoEvalColumn.__dict__.values()
        if isinstance(col, dict) and col["displayed_by_default"]
      ],
      cant_deselect=[
        col["name"]
        for col in AutoEvalColumn.__dict__.values()
        if isinstance(col, dict) and col.get("never_hidden", False)
      ],
      label="Select Columns to Display:",
    ),
    search_columns=["Model"],
    interactive=False,
  )


def format_model_link(row):
  """Format model name as HTML link if URL is available"""
  model_name = row["Model"]
  # url = row.get("URL", "")
  # if pd.notna(url) and url.strip():
  #   return f'<a href="{url}" target="_blank">{model_name}</a>'
  return model_name


demo = gr.Blocks()
with demo:
  gr.HTML(TITLE)
  gr.Markdown(INTRODUCTION_TEXT)

  with gr.Tabs() as tabs:
    with gr.TabItem("🏅 Leaderboard"):
      df = get_result_data()
      df["Model"] = df.apply(format_model_link, axis=1)
      leaderboard = init_leaderboard(df)

demo.launch(ssr_mode=False)