Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
misc cleanup
Browse files
app.py
CHANGED
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@@ -1,20 +1,13 @@
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import asyncio
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-
import csv
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import datetime
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import json
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-
import logging
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import os
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import os.path
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-
import random
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import re
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import threading
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import time
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import discord
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import gradio as gr
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-
import gradio_client
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import gspread
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-
import numpy as np
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import pandas as pd
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import requests
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@@ -23,20 +16,15 @@ from apscheduler.executors.pool import ThreadPoolExecutor
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from apscheduler.schedulers.background import BackgroundScheduler
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from discord import Color, Embed
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from discord.ext import commands, tasks
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-
from
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from
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from gspread_formatting.dataframe import format_with_dataframe
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from huggingface_hub import HfApi, list_liked_repos, list_metrics, list_models
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from tabulate import tabulate
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-
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DISCORD_TOKEN = os.environ.get("DISCORD_TOKEN", None)
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intents = discord.Intents.all()
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bot = commands.Bot(command_prefix='!', intents=intents)
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#logger = logging.getLogger(__name__)
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#logging.basicConfig(level=logging.DEBUG)
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""""""
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XP_PER_MESSAGE = 10 # 100k messages = 1M exp = lvl 100
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@@ -53,14 +41,13 @@ bot_ids = [1136614989411655780, 1166392942387265536, 1158038249835610123, 113077
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""""""
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api = HfApi()
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""""""
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-
#csv_file = 'data.csv'
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global_df = pd.DataFrame()
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print(type(global_df))
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community_global_df = pd.DataFrame()
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community_global_df_with_id = pd.DataFrame()
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community_global_df_gradio = pd.DataFrame()
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test_merge = pd.read_csv("https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0")
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-
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@bot.event
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async def on_ready():
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@@ -76,7 +63,7 @@ async def on_ready():
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# updates both leaderboards
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remove_huggingfolks.start()
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print(
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except Exception as e:
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print(f"on_ready Error: {e}")
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@@ -85,13 +72,13 @@ def update_google_sheet():
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"""save data from HF Space -> google sheets (makes 1 API call)"""
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try:
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print("Updating google sheets...")
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-
print(
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name = "test_merge_worksheet"
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set_with_dataframe(test_merge_worksheet, global_df)
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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print(
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print(f"Google sheet {name} {test_merge_worksheet} successfully updated at {timestamp}! \n{global_df}")
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print(
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except Exception as e:
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print(f"update_google_sheet Error: {e}")
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@@ -100,7 +87,7 @@ def update_hub_stats():
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try:
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global global_df
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print("Updating hub stats...")
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print(
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for index, row in global_df.iterrows():
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user = row['hf_user_name']
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@@ -133,7 +120,7 @@ def update_hub_stats():
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total_hub_activity = likes + models + datasets + spaces + discussions + papers + upvotes
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total_hub_exp = total_hub_activity * 20 #2x better than discord
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-
total_hub_exp_string =
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# hub exp
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global_df.loc[index, 'hub_exp'] = total_hub_exp_string
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@@ -142,7 +129,7 @@ def update_hub_stats():
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discord_exp = row['discord_exp']
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discord_exp_int = discord_exp.strip('L')
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total_exp = int(discord_exp_int) + int(total_hub_exp)
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total_exp_string =
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global_df.loc[index, 'total_exp'] = total_exp_string
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# level
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@@ -159,9 +146,9 @@ def update_hub_stats():
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except Exception as e:
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print(f"Failed to parse data for user {user}. {e}")
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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print(
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print(f"Hub stats successfully updated at {timestamp}! \n{global_df}")
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print(
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executor = ThreadPoolExecutor(max_workers=2)
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scheduler = BackgroundScheduler(executors={'default': executor})
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@@ -292,7 +279,7 @@ async def add_exp(member_id):
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# set old level; use this for more accurate logging and jumping multiple levels at once (for example, verifying)
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old_total_xp = int(total_exp)
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-
old_level = calculate_level(old_total_xp)
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# check if hub exp not empty
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if hub_xp.strip():
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@@ -306,13 +293,13 @@ async def add_exp(member_id):
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# convert back to string + google sheet proofing
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new_xp = str(new_xp)
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if not new_xp.startswith("L") and not new_xp.endswith("L"):
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-
new_xp =
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global_df.loc[index, 'discord_exp'] = new_xp # do not change column name
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# after
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total_exp = str(total_exp)
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if not total_exp.startswith("L") and not total_exp.endswith("L"):
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-
total_exp =
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# add back to dataframe in memory after checking redundantly;
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if total_exp.startswith("L") and total_exp.endswith("L"):
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@@ -340,7 +327,7 @@ async def add_exp(member_id):
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rank = (copy_df['total_exp'] > target_exp).sum() + 1
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print(f"The rank for {member} based on total_exp is: {rank}")
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except Exception as e:
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print(f"Discord ID {member} {member_id} not found in the DataFrame.")
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rank = "🤗"
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# if level 3 -> then send embed, remove some exp
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@@ -365,18 +352,18 @@ async def add_exp(member_id):
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embed.description = f"{msg}"
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verification_link = "https://discord.com/channels/879548962464493619/900125909984624713"
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embed.add_field(name="Verify Here:", value=verification_link, inline=True)
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-
u_1 =
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u_2 =
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u_3 =
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u_4 =
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embed.add_field(name="You can Unlock:", value=f"{u_1}\n{u_2}\n{u_3}\n{u_4}", inline=True)
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embed.set_image(url='https://cdn.discordapp.com/attachments/1150399343912833024/1205537451242688573/download_1.png?ex=65d8bb3e&is=65c6463e&hm=042fe7dd3521887db0bd48eeb846de1cc7c75194f9e95215c23512ff61ea3475&')
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lunar = bot.get_user(811235357663297546)
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await member.send(embed=embed)
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await lunar.send(embed=embed)
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print(
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print(
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return
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# increment the old level value (better to replace outright)
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@@ -430,7 +417,7 @@ async def add_exp(member_id):
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await member.send(embed=embed)
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await lunar.send(embed=embed)
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print(f"Sent levelup embed to {member}")
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print(
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if not member_found: # this only checks if discord_user_id (with L) is present in discord_user_id column,
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# if not, create new record
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print(f"Creating new record for {member}")
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@@ -439,10 +426,10 @@ async def add_exp(member_id):
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current_level = calculate_level(xp)
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xp = str(xp)
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if not xp.startswith("L") and not xp.endswith("L"):
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-
xp =
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member_id = str(member_id)
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if not member_id.startswith("L") and not member_id.endswith("L"):
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member_id =
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member_name = str(member.name)
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hf_user_name = "n/a"
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hub_exp = "L0L"
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@@ -461,7 +448,7 @@ async def add_exp(member_id):
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row_data = [member_id, member_name, xp, current_level, hf_user_name, hub_exp, total_exp, verified_date, likes, models, datasets, spaces, discussions, papers, upvotes]
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global_df.loc[len(global_df.index)] = row_data
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print(
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except Exception as e:
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print(f"add_exp Error: {e}")
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@@ -487,7 +474,7 @@ async def on_message(message):
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try:
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user = HfApi().whoami(token)
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except HTTPError as e:
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await message.channel.send("Error occured when trying to authenticate. Likely invalid API Token.")
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token = "abc" # reset right after we use to be safe
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if user['type'] == 'org':
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@@ -552,21 +539,21 @@ async def on_message(message):
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print(f"verification Error: {e}")
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# -----------------------------------------------------------------------------------------
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xp = 10
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-
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xp = str(xp)
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if not xp.startswith("L") and not xp.endswith("L"):
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xp = f"L" + str(xp) + f"L"
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hub_exp = "L0L"
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total_exp =
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row_data = [altered_member_id,
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member.name,
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-
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current_level,
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user['name'],
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"L0L",
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verified_date,
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likes,
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models,
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@@ -580,7 +567,7 @@ async def on_message(message):
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await member.add_roles(role)
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if role in member.roles:
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print(f"New record created for {member}")
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print(
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await bot.process_commands(message)
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except Exception as e:
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print(f"on_message Error: {e}")
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@@ -592,7 +579,7 @@ async def on_reaction_add(reaction, user):
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if user.id not in bot_ids:
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print(f"adding exp from react {user}")
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await asyncio.sleep(0.1)
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if not isinstance(message.channel, discord.DMChannel): # can't earn exp from
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await add_exp(user.id)
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await asyncio.sleep(0.1)
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if reaction.message.author.id != user.id: # can't earn while self-reacting, which is abuseable
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@@ -660,8 +647,8 @@ async def remove_huggingfolks():
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# put into message / leaderboard
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new_table = tabulate(top_num_rows, headers=["Name", "Level", "Experience", "Rank"], tablefmt="plain")
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await message.edit(content=f"Updated Leaderboard:\n```\n{new_table}\n```")
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print(
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print(
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except Exception as e:
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print(f"remove_huggingfolks Error: {e}")
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@@ -710,23 +697,18 @@ def get_data2():
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demo = gr.Blocks()
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with demo:
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try:
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dataframe1 = pd.read_csv("https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0")
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#data = dataframe1.copy()
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print(dataframe1)
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column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
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print(column_values_unique)
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dataframe2 = pd.DataFrame({'Levels': column_values_unique})
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-
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counts = {}
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try:
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for value in dataframe1.iloc[:, 3]:
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print(value)
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print(type(value))
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counts[value] = counts.get(value, 0) + 1
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dataframe2['Members'] = dataframe2['Levels'].map(counts)
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except Exception as e:
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print(f"
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print(dataframe2)
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TITLE = """<h1 align="center" id="space-title">🤗 Hugging Face Level Leaderboard</h1>"""
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gr.HTML(TITLE)
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import asyncio
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import datetime
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import json
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import os
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import os.path
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import threading
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import discord
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import gradio as gr
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import gspread
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import pandas as pd
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import requests
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from apscheduler.schedulers.background import BackgroundScheduler
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from discord import Color, Embed
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from discord.ext import commands, tasks
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+
from gspread_dataframe import set_with_dataframe
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from huggingface_hub import HfApi
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from tabulate import tabulate
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+
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DISCORD_TOKEN = os.environ.get("DISCORD_TOKEN", None)
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intents = discord.Intents.all()
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bot = commands.Bot(command_prefix='!', intents=intents)
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""""""
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XP_PER_MESSAGE = 10 # 100k messages = 1M exp = lvl 100
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""""""
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api = HfApi()
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""""""
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global_df = pd.DataFrame()
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print(type(global_df))
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community_global_df = pd.DataFrame()
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community_global_df_with_id = pd.DataFrame()
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community_global_df_gradio = pd.DataFrame()
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test_merge = pd.read_csv("https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0")
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+
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@bot.event
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async def on_ready():
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# updates both leaderboards
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remove_huggingfolks.start()
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+
print("------------------------------------------------------------------------")
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except Exception as e:
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print(f"on_ready Error: {e}")
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"""save data from HF Space -> google sheets (makes 1 API call)"""
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try:
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print("Updating google sheets...")
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+
print("------------------------------------------------------------------------")
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name = "test_merge_worksheet"
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set_with_dataframe(test_merge_worksheet, global_df)
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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+
print("------------------------------------------------------------------------")
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print(f"Google sheet {name} {test_merge_worksheet} successfully updated at {timestamp}! \n{global_df}")
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+
print("------------------------------------------------------------------------")
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except Exception as e:
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print(f"update_google_sheet Error: {e}")
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try:
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global global_df
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print("Updating hub stats...")
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+
print("------------------------------------------------------------------------")
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for index, row in global_df.iterrows():
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user = row['hf_user_name']
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total_hub_activity = likes + models + datasets + spaces + discussions + papers + upvotes
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total_hub_exp = total_hub_activity * 20 #2x better than discord
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+
total_hub_exp_string = "L" + str(total_hub_exp) + "L"
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# hub exp
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global_df.loc[index, 'hub_exp'] = total_hub_exp_string
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discord_exp = row['discord_exp']
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discord_exp_int = discord_exp.strip('L')
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total_exp = int(discord_exp_int) + int(total_hub_exp)
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+
total_exp_string = "L" + str(total_exp) + "L"
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global_df.loc[index, 'total_exp'] = total_exp_string
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# level
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except Exception as e:
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print(f"Failed to parse data for user {user}. {e}")
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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+
print("------------------------------------------------------------------------")
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print(f"Hub stats successfully updated at {timestamp}! \n{global_df}")
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+
print("------------------------------------------------------------------------")
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executor = ThreadPoolExecutor(max_workers=2)
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scheduler = BackgroundScheduler(executors={'default': executor})
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# set old level; use this for more accurate logging and jumping multiple levels at once (for example, verifying)
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old_total_xp = int(total_exp)
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+
#old_level = calculate_level(old_total_xp)
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# check if hub exp not empty
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if hub_xp.strip():
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# convert back to string + google sheet proofing
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new_xp = str(new_xp)
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if not new_xp.startswith("L") and not new_xp.endswith("L"):
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+
new_xp = "L" + str(new_xp) + "L"
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global_df.loc[index, 'discord_exp'] = new_xp # do not change column name
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# after
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total_exp = str(total_exp)
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if not total_exp.startswith("L") and not total_exp.endswith("L"):
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+
total_exp = "L" + str(total_exp) + "L"
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# add back to dataframe in memory after checking redundantly;
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if total_exp.startswith("L") and total_exp.endswith("L"):
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rank = (copy_df['total_exp'] > target_exp).sum() + 1
|
| 328 |
print(f"The rank for {member} based on total_exp is: {rank}")
|
| 329 |
except Exception as e:
|
| 330 |
+
print(f"Discord ID {member} {member_id} not found in the DataFrame. {e}")
|
| 331 |
rank = "🤗"
|
| 332 |
|
| 333 |
# if level 3 -> then send embed, remove some exp
|
|
|
|
| 352 |
embed.description = f"{msg}"
|
| 353 |
verification_link = "https://discord.com/channels/879548962464493619/900125909984624713"
|
| 354 |
embed.add_field(name="Verify Here:", value=verification_link, inline=True)
|
| 355 |
+
u_1 = "👑 Earn exp for activity on Discord and HF and climb the leaderboard !"
|
| 356 |
+
u_2 = "🌎 Feature your content in weekly news and increase its visibility!"
|
| 357 |
+
u_3 = "🚀 Early access to Beta features!"
|
| 358 |
+
u_4 = "🛡️ Secure your progress, and restore if needed!"
|
| 359 |
embed.add_field(name="You can Unlock:", value=f"{u_1}\n{u_2}\n{u_3}\n{u_4}", inline=True)
|
| 360 |
embed.set_image(url='https://cdn.discordapp.com/attachments/1150399343912833024/1205537451242688573/download_1.png?ex=65d8bb3e&is=65c6463e&hm=042fe7dd3521887db0bd48eeb846de1cc7c75194f9e95215c23512ff61ea3475&')
|
| 361 |
|
| 362 |
lunar = bot.get_user(811235357663297546)
|
| 363 |
await member.send(embed=embed)
|
| 364 |
await lunar.send(embed=embed)
|
| 365 |
+
print("Sent verification cap embed to {member}")
|
| 366 |
+
print("------------------------------------------------------------------------")
|
| 367 |
return
|
| 368 |
|
| 369 |
# increment the old level value (better to replace outright)
|
|
|
|
| 417 |
await member.send(embed=embed)
|
| 418 |
await lunar.send(embed=embed)
|
| 419 |
print(f"Sent levelup embed to {member}")
|
| 420 |
+
print("------------------------------------------------------------------------")
|
| 421 |
if not member_found: # this only checks if discord_user_id (with L) is present in discord_user_id column,
|
| 422 |
# if not, create new record
|
| 423 |
print(f"Creating new record for {member}")
|
|
|
|
| 426 |
current_level = calculate_level(xp)
|
| 427 |
xp = str(xp)
|
| 428 |
if not xp.startswith("L") and not xp.endswith("L"):
|
| 429 |
+
xp = "L" + str(xp) + "L"
|
| 430 |
member_id = str(member_id)
|
| 431 |
if not member_id.startswith("L") and not member_id.endswith("L"):
|
| 432 |
+
member_id = "L" + str(member_id) + "L"
|
| 433 |
member_name = str(member.name)
|
| 434 |
hf_user_name = "n/a"
|
| 435 |
hub_exp = "L0L"
|
|
|
|
| 448 |
row_data = [member_id, member_name, xp, current_level, hf_user_name, hub_exp, total_exp, verified_date, likes, models, datasets, spaces, discussions, papers, upvotes]
|
| 449 |
global_df.loc[len(global_df.index)] = row_data
|
| 450 |
|
| 451 |
+
print("------------------------------------------------------------------------")
|
| 452 |
except Exception as e:
|
| 453 |
print(f"add_exp Error: {e}")
|
| 454 |
|
|
|
|
| 474 |
try:
|
| 475 |
user = HfApi().whoami(token)
|
| 476 |
except HTTPError as e:
|
| 477 |
+
await message.channel.send(f"Error occured when trying to authenticate. Likely invalid API Token. {e}")
|
| 478 |
token = "abc" # reset right after we use to be safe
|
| 479 |
|
| 480 |
if user['type'] == 'org':
|
|
|
|
| 539 |
print(f"verification Error: {e}")
|
| 540 |
|
| 541 |
# -----------------------------------------------------------------------------------------
|
| 542 |
+
# If creating new record (edge case)
|
| 543 |
xp = 10
|
| 544 |
+
discord_exp = "L10L"
|
|
|
|
|
|
|
|
|
|
| 545 |
hub_exp = "L0L"
|
| 546 |
+
total_exp = "L10L"
|
| 547 |
+
current_level = calculate_level(xp)
|
| 548 |
|
| 549 |
row_data = [altered_member_id,
|
| 550 |
member.name,
|
| 551 |
+
discord_exp,
|
| 552 |
current_level,
|
| 553 |
user['name'],
|
| 554 |
"L0L",
|
| 555 |
+
hub_exp,
|
| 556 |
+
total_exp,
|
| 557 |
verified_date,
|
| 558 |
likes,
|
| 559 |
models,
|
|
|
|
| 567 |
await member.add_roles(role)
|
| 568 |
if role in member.roles:
|
| 569 |
print(f"New record created for {member}")
|
| 570 |
+
print("------------------------------------------------------------------------")
|
| 571 |
await bot.process_commands(message)
|
| 572 |
except Exception as e:
|
| 573 |
print(f"on_message Error: {e}")
|
|
|
|
| 579 |
if user.id not in bot_ids:
|
| 580 |
print(f"adding exp from react {user}")
|
| 581 |
await asyncio.sleep(0.1)
|
| 582 |
+
if not isinstance(reaction.message.channel, discord.DMChannel): # can't earn exp from reacting in bot DMs, which is harder to track
|
| 583 |
await add_exp(user.id)
|
| 584 |
await asyncio.sleep(0.1)
|
| 585 |
if reaction.message.author.id != user.id: # can't earn while self-reacting, which is abuseable
|
|
|
|
| 647 |
# put into message / leaderboard
|
| 648 |
new_table = tabulate(top_num_rows, headers=["Name", "Level", "Experience", "Rank"], tablefmt="plain")
|
| 649 |
await message.edit(content=f"Updated Leaderboard:\n```\n{new_table}\n```")
|
| 650 |
+
print("Updated discord leaderboard!")
|
| 651 |
+
print("------------------------------------------------------------------------")
|
| 652 |
except Exception as e:
|
| 653 |
print(f"remove_huggingfolks Error: {e}")
|
| 654 |
|
|
|
|
| 697 |
demo = gr.Blocks()
|
| 698 |
with demo:
|
| 699 |
try:
|
| 700 |
+
dataframe1 = pd.read_csv("https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0") # required for timing
|
|
|
|
|
|
|
| 701 |
column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
|
|
|
|
| 702 |
dataframe2 = pd.DataFrame({'Levels': column_values_unique})
|
| 703 |
+
|
| 704 |
counts = {}
|
| 705 |
try:
|
| 706 |
for value in dataframe1.iloc[:, 3]:
|
|
|
|
|
|
|
| 707 |
counts[value] = counts.get(value, 0) + 1
|
| 708 |
dataframe2['Members'] = dataframe2['Levels'].map(counts)
|
| 709 |
except Exception as e:
|
| 710 |
+
print(f"gradio display error Error: {e}")
|
| 711 |
+
print(f"dataframe2: {dataframe2}")
|
| 712 |
|
| 713 |
TITLE = """<h1 align="center" id="space-title">🤗 Hugging Face Level Leaderboard</h1>"""
|
| 714 |
gr.HTML(TITLE)
|