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ability to summarise a certain number of messages in a channel using …
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…openai magic
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aaj2005 committed Aug 4, 2024
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90 changes: 90 additions & 0 deletions cogs/commands/summarise.py
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from discord.ext import commands
import logging
from typing import Optional

from discord.ext.commands import Bot, Context, clean_content
from cogs.commands.openaiadmin import is_author_banned_openai
from discord import AllowedMentions

from config import CONFIG
from discord import AllowedMentions
from utils.utils import get_name_and_content, split_into_messages

import openai

LONG_HELP_TEXT = """
Too much yapping? Summarise what people have said using the power of the GPT overlords!
"""

SHORT_HELP_TEXT = """Summarise messages."""

mentions = AllowedMentions(everyone=False, users=False, roles=False, replied_user=True)
chat_cmd = CONFIG.PREFIX + "chat"
summarise_cmd = CONFIG.PREFIX + "summarise"


def clean(msg, *prefixes):
for pre in prefixes:
msg = msg.strip().removeprefix(pre)
return msg.strip()

class Summarise(commands.Cog):
def __init__(self, bot: Bot):
self.bot = bot
openai.api_key = CONFIG.OPENAI_API_KEY
self.model = "gpt-3.5-turbo"
self.system_prompt = "People yap too much, I don't want to read all of it. In 200 words or less give me the gist of what is being said. Note that the messages are in reverse chronological order:"

@commands.hybrid_command(help=LONG_HELP_TEXT, brief=SHORT_HELP_TEXT)
async def tldr(self, ctx: Context, number_of_messages: int=100, gpt4: bool=False ):
number_of_messages = 400 if number_of_messages > 400 else number_of_messages

# avoid banned users
if not await is_author_banned_openai(ctx):
return

# get the last "number_of_messages" messages from the current channel and build the prompt
curr_channel = ctx.guild.get_channel(ctx.channel.id)
messages = curr_channel.history(limit=number_of_messages)
messages = await self.create_message(messages)

# send the prompt to the ai overlords to process
async with ctx.typing():
response = await self.dispatch_api(messages, gpt4)
if response:
prev = ctx.message
for content in split_into_messages(response):
prev = await prev.reply(content, allowed_mentions=mentions)


async def dispatch_api(self, messages, gpt4) -> Optional[str]:
logging.info(f"Making OpenAI request: {messages}")

# Make request
model = "gpt-4" if gpt4 else self.model
response = await openai.ChatCompletion.acreate(model=model, messages=messages)
logging.info(f"OpenAI Response: {response}")

# Remove prefix that chatgpt might add
reply = response.choices[0].message.content
if CONFIG.AI_INCLUDE_NAMES:
name = f"{self.bot.user.display_name}: "
reply = clean(reply, "Apollo: ", "apollo: ", name)
return reply


async def create_message(self, message_chain):
# get initial prompt
initial = self.system_prompt + "\n"

# for each message, append it to the prompt as follows --- author : message \n
async for msg in message_chain:
if CONFIG.AI_INCLUDE_NAMES and msg.author != self.bot.user:
initial+= msg.author.name + ":" + msg.content + "\n"

messages = [dict(role="system", content=initial)]

return messages

async def setup(bot: Bot):
await bot.add_cog(Summarise(bot))

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