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import asyncio
import discord
from discord.ext import commands
from dotenv import load_dotenv
from cogs.gpt_3_commands_and_converser import GPT3ComCon
from models.message_model import Message
from models.openai_model import Model
from models.usage_service_model import UsageService
load_dotenv()
import os
"""
Message queueing for the debug service, defer debug messages to be sent later so we don't hit rate limits.
"""
message_queue = asyncio.Queue()
asyncio.ensure_future(Message.process_message_queue(message_queue, 1.5, 5))
"""
Settings for the bot
"""
bot = commands.Bot(intents=discord.Intents.all(), command_prefix="'")
usage_service = UsageService()
model = Model(usage_service)
"""
An encapsulating wrapper for the discord.py client. This uses the old re-write without cogs, but it gets the job done!
"""
@bot.event # Using self gives u
async def on_ready(): # I can make self optional by
print('We have logged in as {0.user}'.format(bot))
async def main():
debug_guild = int(os.getenv('DEBUG_GUILD'))
debug_channel = int(os.getenv('DEBUG_CHANNEL'))
# Load te main GPT3 Bot service
bot.add_cog(GPT3ComCon(bot, usage_service, model, message_queue, debug_guild, debug_channel))
await bot.start(os.getenv('DISCORD_TOKEN'))
# Run the bot with a token taken from an environment file.
if __name__ == "__main__":
asyncio.get_event_loop().run_until_complete(main())