import os import io import re import csv import json import time import random import asyncio import discord import logging import os.path import secrets import aiohttp import gspread import datetime import requests import threading import gradio_client import numpy as np import pandas as pd import gradio as gr import plotly.graph_objects as go from tabulate import tabulate from requests import HTTPError from gradio_client import Client from discord import Color, Embed from discord.ui import Button, View from discord.ext import commands, tasks from datetime import datetime, timedelta from urllib.parse import urlparse, parse_qs from apscheduler.executors.pool import ThreadPoolExecutor from apscheduler.executors.asyncio import AsyncIOExecutor from apscheduler.schedulers.asyncio import AsyncIOScheduler from gspread_formatting.dataframe import format_with_dataframe from apscheduler.schedulers.background import BackgroundScheduler from gspread_dataframe import get_as_dataframe, set_with_dataframe from huggingface_hub import HfApi, list_liked_repos, list_metrics, list_models DISCORD_TOKEN = os.environ.get("DISCORD_TOKEN", None) intents = discord.Intents.all() bot = commands.Bot(command_prefix='!', intents=intents) @bot.event async def on_ready(): """import data from google sheets -> HF Space df (doesn't make API call this way, as it's read-only)""" print(f"We have logged in as {bot.user}") await give_verified_roles() async def give_verified_roles(): while True: try: global_df = pd.DataFrame() async with aiohttp.ClientSession() as session: try: async with session.get( "https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0", timeout=10 ) as response: if response.status != 200: print(f"Failed to fetch CSV: HTTP {response.status}") await asyncio.sleep(60) continue csv_data = await response.text() global_df = pd.read_csv(io.StringIO(csv_data)) except asyncio.TimeoutError: print("CSV fetch timed out.") await asyncio.sleep(30) continue except Exception as e: print(f"Error fetching CSV: {e}") await asyncio.sleep(30) continue guild = bot.get_guild(879548962464493619) role = guild.get_role(900063512829755413) # Define the invite message org_link = "https://huggingface.co/organizations/discord-community/share/wPKRAHYbAlaEaCxUxcqVyaaaeZcYagDvqc" invite_message = "Click to join our community org on the HF Hub!" # Cache members in the guild await guild.chunk() # Iterate over the dataframe rows for index, row in global_df.iterrows(): # Extract Hugging Face username hf_user_name = row['hf_user_name'] if pd.notna(hf_user_name) and hf_user_name.lower() != 'n/a': discord_id = row['discord_user_id'].strip('L') member = guild.get_member(int(discord_id)) if not member: continue if role not in member.roles: await member.add_roles(role) print(f"Role added to member: {member}") await asyncio.sleep(3) lunar = bot.get_user(811235357663297546) if lunar: await lunar.send(f"Verified role given to {member}!") await asyncio.sleep(3) await member.send( f"Verification successful! [{member} <---> {row['discord_user_name']}] \n🤗 {org_link} {invite_message}" ) await asyncio.sleep(1) except Exception as e: print(f"Error encountered: {e}") await asyncio.sleep(30) # runs discord bot in thread = helps avoid blocking calls def run_bot(): bot.run(DISCORD_TOKEN) threading.Thread(target=run_bot).start() def greet(name): return "Hello " + name + "!" demo = gr.Interface(fn=greet, inputs="text", outputs="text") demo.launch()