Merge pull request #256 from UWCS/summarise

ability to summarise a certain number of messages in a channel using …

apollo.py

@@ -42,6 +42,7 @@
     "cogs.commands.run",
     "cogs.commands.roomsearch",
     "cogs.commands.say",
+    "cogs.commands.summarise",
     "cogs.commands.system",
     "cogs.commands.tex",
     "cogs.commands.vote",

cogs/commands/summarise.py

@@ -0,0 +1,86 @@
+import logging
+from typing import Optional
+
+import openai
+from discord import AllowedMentions
+from discord.ext import commands
+from discord.ext.commands import Bot, Context
+
+from cogs.commands.openaiadmin import is_author_banned_openai
+from config import CONFIG
+from utils.utils import split_into_messages
+
+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)
+model = "gpt-4o-mini"
+
+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.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):
+        number_of_messages = 400 if number_of_messages > 400 else number_of_messages
+
+        # avoid banned users
+        if not await is_author_banned_openai(ctx):
+            await ctx.send("You are banned from OpenAI!")
+            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)
+            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) -> Optional[str]:
+        logging.info(f"Making OpenAI request: {messages}")
+
+        # Make request
+        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))