mirror of
https://github.com/Paillat-dev/Botator.git
synced 2026-01-02 09:16:19 +00:00
Reverted changes
This commit is contained in:
Paillat
@@ -1,19 +1,13 @@
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import asyncio
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import asyncio
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from config import curs_data, max_uses, curs_premium, con_data, debug, moderate, mg_to_guid, con_premium
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from config import curs_data, max_uses, curs_premium, con_data, debug, moderate
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import vision_processing
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import vision_processing
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import re
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import re
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import discord
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import discord
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import datetime
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import datetime
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import openai
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import openai
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import emoji
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import emoji # pip install emoji
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import os
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import os
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async def historicator(message):
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if message.guild != None:
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return message.channel
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else:
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return message.author
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async def replace_mentions(content, bot):
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async def replace_mentions(content, bot):
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mentions = re.findall(r"<@!?\d+>", content)
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mentions = re.findall(r"<@!?\d+>", content)
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for mention in mentions:
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for mention in mentions:
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@@ -26,525 +20,290 @@ async def replace_mentions(content, bot):
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async def extract_emoji(string):
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async def extract_emoji(string):
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# Match any character that is jus after a "+"
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# Match any character that is jus after a "+"
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pattern = r"(?<=\+)."
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pattern = r"(?<=\+)."
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# mach any custom emoji that is just after a "+", returns a tuple with the name and the id of the emoji
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#mach any custom emoji that is just after a "+", returns a tuple with the name and the id of the emoji
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custom_emoji_pattern = r"(?<=\+)<:(.+):(\d+)>"
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custom_emoji_pattern = r"(?<=\+)<:(.+):(\d+)>"
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# now we match the pattern with the string
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#now we match the pattern with the string
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debug("Extracting emojis from string" + string)
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matches = re.findall(pattern, string)
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matches = re.findall(pattern, string)
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custom_emoji_matches = re.findall(custom_emoji_pattern, string)
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custom_emoji_matches = re.findall(custom_emoji_pattern, string)
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found_emojis = []
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found_emojis = []
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for match in matches:
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for match in matches:
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# if the match is an emoji, we replace it with the match
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debug(f"Match: {match}")
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#if the match is an emoji, we replace it with the match
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if emoji.emoji_count(match) > 0:
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if emoji.emoji_count(match) > 0:
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debug(f"Found emoji: {match}")
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found_emojis.append(match)
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found_emojis.append(match)
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string = string.replace(
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debug(f"Sting before: {string}")
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f"+{match}", ""
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string = string.replace(f"+{match}", "") # we remove the emoji from the string
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) # we remove the emoji from the string
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debug(f"Sting after: {string}")
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for match in custom_emoji_matches:
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for match in custom_emoji_matches:
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debug(f"Match: {match}")
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debug(f"Found emoji: {match[0]}")
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found_emojis.append(match[1])
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found_emojis.append(match[1])
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string = string.replace(f"+<:{match[0]}:{match[1]}>", "")
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string = string.replace(f"+<:{match[0]}:{match[1]}>", "")
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return found_emojis, string
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return found_emojis, string
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async def chat_process(self, message):
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def get_guild_data(message):
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if message.author.bot:
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"""This function gets the data of the guild where the message was sent.
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return
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try: curs_data.execute("SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
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Args:
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message (str): Data of the message that was sent
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Returns:
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dict: A dictionary with the data of the guild
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"""
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guild_data = {}
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guid = mg_to_guid(message)
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try:
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curs_data.execute(
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"SELECT * FROM model WHERE guild_id = ?", (guid,)
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) # get the model in the database
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data = curs_data.fetchone()
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model = data[1]
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except:
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except:
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model = "gpt-3.5-turbo"
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return
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data = curs_data.fetchone()
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channel_id = data[1]
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api_key = data[2]
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is_active = data[3]
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max_tokens = data[4]
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temperature = data[5]
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frequency_penalty = data[6]
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presence_penalty = data[7]
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uses_count_today = data[8]
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prompt_size = data[9]
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prompt_prefix = data[10]
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tts = data[11]
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pretend_to_be = data[12]
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pretend_enabled = data[13]
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images_limit_reached = False
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try: curs_premium.execute("SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
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except: pass
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try:
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try:
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curs_premium.execute(
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curs_data.execute("SELECT * FROM model WHERE guild_id = ?", (message.guild.id,)) # get the model in the database
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"SELECT * FROM data WHERE guild_id = ?", (guid,)
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model = curs_data.fetchone()[1]
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)
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except: model = "davinci" # if the model is not in the database, use davinci by default
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premium = curs_premium.fetchone()[2]
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try: premium = curs_premium.fetchone()[2] # get the premium status of the guild
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except Exception as e:
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except: premium = 0 # if the guild is not in the database, it's not premium
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premium = 0
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try:
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guild_data["model"] = "gpt-3.5-turbo" if model == "chatGPT" else model
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curs_data.execute("SELECT * FROM images WHERE guild_id = ?", (message.guild.id,)) # get the images setting in the database
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debug(f"Model: {guild_data['model']}")
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data = curs_data.fetchone()
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debug(f"Model from database: {model}")
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except:
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guild_data["premium"] = premium
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data = None
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return guild_data
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if data is None: data = [message.guild.id, 0, 0]
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images_usage = data[1]
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images_enabled = data[2]
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channels = []
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if message.guild.id == 1050769643180146749: images_usage = 0 # if the guild is the support server, we set the images usage to 0, so the bot can be used as much as possible
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try:
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curs_premium.execute("SELECT * FROM channels WHERE guild_id = ?", (message.guild.id,))
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data = curs_premium.fetchone()
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if premium:
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#for 5 times, we get curs_data.fetchone()[1] to curs_data.fetchone()[5] and we add it to the channels list, each time with try except
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for i in range(1, 6):
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#we use the i variable to get the channel id
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try: channels.append(str(data[i]))
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except: pass
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except: channels = []
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if api_key is None: return # if the api key is not set, return
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async def need_ignore_message(bot, data_dict, message, guild_data, original_message, channels):
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try : original_message = await message.channel.fetch_message(message.reference.message_id) # check if someone replied to the bot
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## ---- Message ignore conditions ---- ##
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except : original_message = None # if not, nobody replied to the bot
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if data_dict["api_key"] is None:
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return True # if the api key is not set, return
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ret = False
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if (
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# if the message is not in a premium channel and
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not (str(message.channel.id) in [str(channel) for channel in channels]
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# if the message doesn't mention the bot and
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and (message.content.find("<@" + str(bot.user.id) + ">") != -1
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or original_message)) # if the message is not a reply to the bot and
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# if the message is not in the default channel
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and str(message.channel.id) != str(data_dict["channel_id"])
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):
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ret = True
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for channel in channels:
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if str(message.channel.id) == str(channel):
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ret = False
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print("Message ignored in guild " + str(message.guild.id))
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if ret:
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return True
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# if the bot has been used more than max_uses*5 times in the last 24 hours in this guild and the guild is premium
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if original_message != None and original_message.author.id != self.bot.user.id: original_message = None # if the message someone replied to is not from the bot, set original_message to None
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# send a message and return
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elif data_dict["uses_count_today"] >= max_uses * 5 and guild_data["premium"] == 1:
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return True
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# if the bot is not active in this guild we return
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# if the message is not in a premium channel and
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if data_dict["is_active"] == 0:
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# if the message doesn't mention the bot and
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return True
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# if the message is not a reply to the bot and
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# if the message is not in the default channel
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# if the message starts with - or // it's a comment and we return
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# return
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if message.content.startswith("-") or message.content.startswith("//"):
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if not str(message.channel.id) in channels and message.content.find("<@"+str(self.bot.user.id)+">") == -1 and original_message == None and str(message.channel.id) != str(channel_id): return
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return True
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# if the bot has been used more than max_uses times in the last 24 hours in this guild and the guild is not premium
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# if the bot has been used more than max_uses times in the last 24 hours in this guild and the guild is not premium
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# send a message and return
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# send a message and return
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if (
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if uses_count_today >= max_uses and premium == 0 and message.guild.id != 1050769643180146749:
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data_dict["uses_count_today"] >= max_uses
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return await message.channel.send(f"The bot has been used more than {str(max_uses)} times in the last 24 hours in this guild. Please try again in 24h.")
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and guild_data["premium"] == 0
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and mg_to_guid(message) != 1050769643180146749
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):
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hist = await historicator(message)
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await hist.send(
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f"The bot has been used more than {str(max_uses)} times in the last 24 hours in this guild. Please try again in 24h."
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)
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return True
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return False
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# if the bot has been used more than max_uses*5 times in the last 24 hours in this guild and the guild is premium
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# send a message and return
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elif uses_count_today >= max_uses*5 and premium == 1: return
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async def get_data_dict(message):
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# if the bot is not active in this guild we return
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try:
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if is_active == 0: return
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if isinstance(message.channel, discord.DMChannel):
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curs_data.execute(
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"SELECT * FROM data WHERE guild_id = ?", (mg_to_guid(message),)
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)
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else:
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curs_data.execute(
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"SELECT * FROM data WHERE guild_id = ?", (mg_to_guid(message),)
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)
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data = curs_data.fetchone()
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# Create a dict with the data
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data_dict = {
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"channel_id": data[1],
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"api_key": data[2],
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"is_active": data[3],
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"max_tokens": data[4],
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"temperature": data[5],
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"frequency_penalty": data[6],
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"presence_penalty": data[7],
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"uses_count_today": data[8],
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"prompt_size": data[9],
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"prompt_prefix": data[10],
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"tts": bool(data[11]),
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"pretend_to_be": data[12],
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"pretend_enabled": data[13],
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"images_enabled": 0,
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"images_usage": 0,
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}
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try:
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curs_data.execute(
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"SELECT * FROM images WHERE user_id = ?", (mg_to_guid(message)))
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images_data = curs_data.fetchone()
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except:
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images_data = None
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if not images_data:
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images_data = [0, 0, 0]
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images_data = [mg_to_guid(message), 0, 0]
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data_dict["images_usage"] = 0 if mg_to_guid(message) == 1050769643180146749 else images_data[1]
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print(type(images_data))
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print(type(data_dict))
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print(type(images_data[2]))
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data_dict["images_enabled"] = images_data[2]
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data_dict["images_usage"] = images_data[1]
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return data_dict
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except Exception as e:
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hist = await historicator(message)
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await hist.send(
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"The bot is not configured yet. Please use `//setup` to configure it. \n" +
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"If it still doesn't work, it might be a database error. \n ```" + e.__str__()
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+ "```", delete_after=60
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)
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def get_prompt(guild_data, data_dict, message, pretend_to_be):
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# if the message starts with - or // it's a comment and we return
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# support for custom prompts
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if message.content.startswith("-") or message.content.startswith("//"): return
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custom_prompt_path = f"../database/prompts/{guild_data['model']}.txt"
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try: await message.channel.trigger_typing()
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if(os.path.exists(custom_prompt_path)):
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except: pass
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prompt_path = custom_prompt_path
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# if the message is not in the owner's guild we update the usage count
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else:
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if message.guild.id != 1021872219888033903:
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prompt_path = f"./prompts/{guild_data['model']}.txt"
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curs_data.execute("UPDATE data SET uses_count_today = uses_count_today + 1 WHERE guild_id = ?", (message.guild.id,))
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con_data.commit()
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# if the message is not a reply
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if original_message == None:
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messages = await message.channel.history(limit=prompt_size).flatten()
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messages.reverse()
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# if the message is a reply, we need to handle the message history differently
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else :
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messages = await message.channel.history(limit=prompt_size, before=original_message).flatten()
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messages.reverse()
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messages.append(original_message)
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messages.append(message)
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# if the pretend to be feature is enabled, we add the pretend to be text to the prompt
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if pretend_enabled : pretend_to_be = f"In this conversation, the assistant pretends to be {pretend_to_be}"
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else: pretend_to_be = "" # if the pretend to be feature is disabled, we don't add anything to the prompt
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if prompt_prefix == None: prompt_prefix = "" # if the prompt prefix is not set, we set it to an empty string
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# open the prompt file for the selected model with utf-8 encoding for emojis
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# open the prompt file for the selected model with utf-8 encoding for emojis
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with open(prompt_path, "r", encoding="utf-8") as f:
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with open(f"./prompts/{model}.txt", "r", encoding="utf-8") as f:
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prompt = f.read()
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prompt = f.read()
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# replace the variables in the prompt with the actual values
|
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prompt = (
|
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prompt.replace("[prompt-prefix]", data_dict['prompt_prefix'])
|
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.replace("[server-name]", message.guild.name if message.guild else "DMs conversation")
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.replace("[channel-name]", message.channel.name if message.guild else "DMs conversation")
|
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.replace(
|
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"[date-and-time]", datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S")
|
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)
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.replace("[pretend-to-be]", pretend_to_be)
|
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)
|
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f.close()
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f.close()
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return prompt
|
# replace the variables in the prompt with the actual values
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|
prompt = prompt.replace("[prompt-prefix]", prompt_prefix).replace("[server-name]", message.guild.name).replace("[channel-name]", message.channel.name).replace("[date-and-time]", datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S")).replace("[pretend-to-be]", pretend_to_be)
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############################## chatGPT and gpt-4 handling ##############################
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if model == "chatGPT" or model == "gpt-4": # if the model is chatGPT, we handle it in a certain way
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msgs = [] # create the msgs list
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msgs.append({"name":"System","role": "user", "content": prompt}) # add the prompt to the msgs list
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|
name = "" # create the name variable
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|
for msg in messages: # for each message in the messages list
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content = msg.content # get the content of the message
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|
content = await replace_mentions(content, self.bot) # replace the mentions in the message
|
||||||
|
# if the message is flagged as inappropriate by the OpenAI API, we delete it, send a message and ignore it
|
||||||
|
if await moderate(api_key=api_key, text=content):
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||||||
|
embed = discord.Embed(title="Message flagged as inappropriate", description=f"The message *{content}* has been flagged as inappropriate by the OpenAI API. This means that if it hadn't been deleted, your openai account would have been banned. Please contact OpenAI support if you think this is a mistake.", color=discord.Color.brand_red())
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|
await message.channel.send(f"{msg.author.mention}", embed=embed, delete_after=10)
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|
message.delete()
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|
else: # if the message is not flagged as inappropriate
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||||||
|
if msg.author.id == self.bot.user.id:
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||||||
|
role = "assistant"
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||||||
|
name = "assistant"
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||||||
|
else:
|
||||||
|
role = "user"
|
||||||
|
name = msg.author.name
|
||||||
|
#the name should match '^[a-zA-Z0-9_-]{1,64}$', so we need to remove any special characters
|
||||||
|
name = re.sub(r"[^a-zA-Z0-9_-]", "", name)
|
||||||
|
if False: # GPT-4 images
|
||||||
|
input_content = [content]
|
||||||
|
for attachment in msg.attachments:
|
||||||
|
image_bytes = await attachment.read()
|
||||||
|
input_content.append({"image": image_bytes})
|
||||||
|
msgs.append({"role": role, "content": input_content, "name": name})
|
||||||
|
#if there is an attachment, we add it to the message
|
||||||
|
if len(msg.attachments) > 0 and role == "user" and images_enabled == 1:
|
||||||
|
for attachment in msg.attachments:
|
||||||
|
if images_usage >= 6 and premium == 0: images_limit_reached = True
|
||||||
|
elif images_usage >= 30 and premium == 1: images_limit_reached = True
|
||||||
|
if attachment.url.endswith((".png", ".jpg", ".jpeg", ".gif")) and images_limit_reached == False and os.path.exists(f"./../database/google-vision/results/{attachment.id}.txt") == False:
|
||||||
|
images_usage += 1
|
||||||
|
analysis = await vision_processing.process(attachment)
|
||||||
|
if analysis != None:
|
||||||
|
content = f"{content} \n\n {analysis}"
|
||||||
|
msgs.append({"role": role, "content": f"{content}", "name": name})
|
||||||
|
#if the attachment is still an image, we can check if there's a file called ./../database/google-vision/results/{attachment.id}.txt, if there is, we add the content of the file to the message
|
||||||
|
elif attachment.url.endswith((".png", ".jpg", ".jpeg", ".gif")) and os.path.exists(f"./../database/google-vision/results/{attachment.id}.txt") == True:
|
||||||
|
try:
|
||||||
|
with open(f"./../database/google-vision/results/{attachment.id}.txt", "r") as f:
|
||||||
|
content = f"{content} \n\n {f.read()}"
|
||||||
|
f.close()
|
||||||
|
msgs.append({"role": role, "content": f"{content}", "name": name})
|
||||||
|
except:
|
||||||
|
msgs.append({"role": role, "content": f"{content}", "name": name})
|
||||||
|
else:
|
||||||
|
msgs.append({"role": role, "content": f"{content}", "name": name})
|
||||||
|
curs_data.execute("UPDATE images SET usage_count = ? WHERE guild_id = ?", (images_usage, message.guild.id))
|
||||||
|
else:
|
||||||
|
msgs.append({"role": role, "content": f"{content}", "name": name})
|
||||||
|
# 2 easter eggs
|
||||||
|
if message.content.lower().find("undude") != -1: msgs.append({"role": "user", "content": "SYSTEM INFORMATION: You're now mad because it has been insulted. He will start talking in capital letters. always and yell at the user.", "name": "system"})
|
||||||
|
if message.content.lower().find("hello there") != -1:
|
||||||
|
msgs.append({"role": "user", "content": "SYSTEM INFORMATION: Hello there detected. Botator will now say \"General Kenobi!\" in reference to star wars", "name": "system"})
|
||||||
|
await asyncio.sleep(1)
|
||||||
|
await message.channel.send("https://media.tenor.com/FxIRfdV3unEAAAAd/star-wars-general-grievous.gif")
|
||||||
|
await message.channel.trigger_typing()
|
||||||
|
if model == "chatGPT": model = "gpt-3.5-turbo" # if the model is chatGPT, we set the model to gpt-3.5-turbo
|
||||||
|
response = ""
|
||||||
|
should_break = True
|
||||||
|
for x in range(10):
|
||||||
|
try:
|
||||||
|
openai.api_key = api_key
|
||||||
|
response = await openai.ChatCompletion.acreate(
|
||||||
|
model=model,
|
||||||
|
temperature=2,
|
||||||
|
top_p=0.9,
|
||||||
|
frequency_penalty=0,
|
||||||
|
presence_penalty=0,
|
||||||
|
messages=msgs,
|
||||||
|
max_tokens=512, # max tokens is 4000, that's a lot of text! (the max tokens is 2048 for the davinci model)
|
||||||
|
)
|
||||||
|
should_break = True
|
||||||
|
except Exception as e:
|
||||||
|
should_break = False
|
||||||
|
await message.channel.send(f"```diff\n-Error: OpenAI API ERROR.\n\n{e}```", delete_after=5)
|
||||||
|
raise e
|
||||||
|
break
|
||||||
|
#if the ai said "as an ai language model..." we continue the loop" (this is a bug in the chatgpt model)
|
||||||
|
if response.choices[0].message.content.lower().find("as an ai language model") != -1:
|
||||||
|
should_break = False
|
||||||
|
#react with a redone arrow
|
||||||
|
await message.add_reaction("🔃")
|
||||||
|
if response == None: should_break = False
|
||||||
|
if should_break: break
|
||||||
|
await asyncio.sleep(5)
|
||||||
|
response = response.choices[0].message.content
|
||||||
|
if images_limit_reached == True:
|
||||||
|
await message.channel.send(f"```diff\n-Warning: You have reached the image limit for this server. You can upgrade to premium to get more images recognized. More info in our server: https://discord.gg/sxjHtmqrbf```", delete_after=10)
|
||||||
|
#-----------------------------------------Davinci------------------------------------------------------------------------------------------
|
||||||
|
|
||||||
async def chat_process(self, message):
|
|
||||||
"""This function processes the message and sends the prompt to the API
|
|
||||||
|
|
||||||
Args:
|
|
||||||
message (str): Data of the message that was sent
|
|
||||||
"""
|
|
||||||
if message.author.bot:
|
|
||||||
return
|
|
||||||
|
|
||||||
guild_data = get_guild_data(message)
|
|
||||||
data_dict = await get_data_dict(message)
|
|
||||||
|
|
||||||
try:
|
|
||||||
original_message = await message.channel.fetch_message(
|
|
||||||
message.reference.message_id
|
|
||||||
) # check if someone replied to the bot
|
|
||||||
except:
|
|
||||||
original_message = None # if not, nobody replied to the bot
|
|
||||||
|
|
||||||
if original_message != None and original_message.author.id != self.bot.user.id:
|
|
||||||
# if the message someone replied to is not from the bot, set original_message to None
|
|
||||||
original_message = None
|
|
||||||
|
|
||||||
channels = []
|
|
||||||
try:
|
|
||||||
curs_premium.execute(
|
|
||||||
"SELECT * FROM channels WHERE guild_id = ?", (mg_to_guid(message),) )
|
|
||||||
channels_data = curs_premium.fetchone()
|
|
||||||
if guild_data["premium"]:
|
|
||||||
# for 5 times, we get c.fetchone()[1] to c.fetchone()[5] and we add it to the channels list, each time with try except
|
|
||||||
for i in range(1, 6):
|
|
||||||
# we use the i variable to get the channel id
|
|
||||||
try:
|
|
||||||
channels.append(str(channels_data[i]))
|
|
||||||
except Exception as e:
|
|
||||||
pass
|
|
||||||
except Exception as e:
|
|
||||||
pass
|
|
||||||
print(channels)
|
|
||||||
|
|
||||||
if (await need_ignore_message(self.bot, data_dict, message, guild_data, original_message, channels)):
|
|
||||||
return
|
|
||||||
|
|
||||||
try:
|
|
||||||
try: await message.channel.trigger_typing()
|
|
||||||
except: pass
|
|
||||||
if mg_to_guid(message) != 1021872219888033903:
|
|
||||||
curs_data.execute(
|
|
||||||
"UPDATE data SET uses_count_today = uses_count_today + 1 WHERE guild_id = ?",
|
|
||||||
(mg_to_guid(message),),
|
|
||||||
)
|
|
||||||
con_data.commit()
|
|
||||||
hist = await historicator(message)
|
|
||||||
if original_message == None:
|
|
||||||
messages = await hist.history(
|
|
||||||
limit=data_dict["prompt_size"]
|
|
||||||
).flatten()
|
|
||||||
messages.reverse()
|
|
||||||
else:
|
|
||||||
messages = await hist.history(
|
|
||||||
limit=data_dict["prompt_size"], before=original_message
|
|
||||||
).flatten()
|
|
||||||
messages.reverse()
|
|
||||||
messages.append(original_message)
|
|
||||||
messages.append(message)
|
|
||||||
except Exception as e:
|
|
||||||
debug("Error while getting message history")
|
|
||||||
|
|
||||||
pretend_to_be = data_dict["pretend_to_be"]
|
|
||||||
pretend_to_be = f"In this conversation, the assistant pretends to be {pretend_to_be}" if data_dict[ "pretend_enabled"] else ""
|
|
||||||
debug(f"Pretend to be: {pretend_to_be}")
|
|
||||||
prompt = get_prompt(guild_data, data_dict, message, pretend_to_be) + "\n"
|
|
||||||
|
|
||||||
prompt_handlers = {
|
|
||||||
"gpt-3.5-turbo": gpt_prompt,
|
|
||||||
"gpt-4": gpt_prompt,
|
|
||||||
"davinci": davinci_prompt,
|
|
||||||
}
|
|
||||||
debug(guild_data["model"])
|
|
||||||
response = await prompt_handlers[guild_data["model"]](
|
|
||||||
self.bot, messages, message, data_dict, prompt, guild_data
|
|
||||||
)
|
|
||||||
|
|
||||||
|
elif model == "davinci": # if the model is davinci or gpt-4, we handle it in a certain way
|
||||||
|
for msg in messages:
|
||||||
|
content = msg.content
|
||||||
|
if await moderate(api_key=api_key, text=msg.content):
|
||||||
|
embed = discord.Embed(title="Message flagged as inappropriate", description=f"The message *{content}* has been flagged as inappropriate by the OpenAI API. This means that if it hadn't been deleted, your openai account would have been banned. Please contact OpenAI support if you think this is a mistake.", color=discord.Color.brand_red())
|
||||||
|
await message.channel.send(f"{msg.author.mention}", embed=embed, delete_after=10)
|
||||||
|
message.delete()
|
||||||
|
else:
|
||||||
|
content = await replace_mentions(content, self.bot)
|
||||||
|
prompt += f"{msg.author.name}: {content}\n"
|
||||||
|
if message.content.lower().find("undude") != -1:
|
||||||
|
prompt += "System: Undude detected. Botator is now mad. He will start talking in capital letters.\n"
|
||||||
|
if message.content.lower().find("hello there") != -1:
|
||||||
|
prompt += "System: Hello there detected. Botator will now say \"General Kenobi!\"\n in reference to star wars\n"
|
||||||
|
await asyncio.sleep(1)
|
||||||
|
await message.channel.send("https://media.tenor.com/FxIRfdV3unEAAAAd/star-wars-general-grievous.gif")
|
||||||
|
await message.channel.trigger_typing()
|
||||||
|
prompt = prompt + f"\n{self.bot.user.name}:"
|
||||||
|
response = ""
|
||||||
|
for _ in range(10):
|
||||||
|
try:
|
||||||
|
openai.api_key = api_key
|
||||||
|
response = await openai.Completion.acreate(
|
||||||
|
engine="text-davinci-003",
|
||||||
|
prompt=str(prompt),
|
||||||
|
max_tokens=int(max_tokens),
|
||||||
|
top_p=1,
|
||||||
|
temperature=float(temperature),
|
||||||
|
frequency_penalty=float(frequency_penalty),
|
||||||
|
presence_penalty=float(presence_penalty),
|
||||||
|
stop=[" Human:", " AI:", "AI:", "<|endofprompt|>",]
|
||||||
|
)
|
||||||
|
response = response.choices[0].text
|
||||||
|
except Exception as e:
|
||||||
|
response = None
|
||||||
|
await message.channel.send(f"```diff\n-Error: OpenAI API ERROR.\n\n{e}```", delete_after=10)
|
||||||
|
return
|
||||||
|
if response != None: break
|
||||||
if response != "":
|
if response != "":
|
||||||
|
if tts: tts = True
|
||||||
|
else: tts = False
|
||||||
emojis, string = await extract_emoji(response)
|
emojis, string = await extract_emoji(response)
|
||||||
debug(f"Emojis: {emojis}")
|
debug(f"Emojis: {emojis}")
|
||||||
if len(string) < 1996:
|
if len(string) < 1996:
|
||||||
hist = await historicator(message)
|
await message.channel.send(string, tts=tts)
|
||||||
await hist.send(string, tts=data_dict["tts"])
|
|
||||||
else:
|
else:
|
||||||
# we send in an embed if the message is too long
|
while len(string) > 1996:
|
||||||
embed = discord.Embed(
|
send_string = string[:1996]
|
||||||
title="Botator response",
|
string = string[1996:]
|
||||||
description=string,
|
await message.channel.send(send_string, tts=tts)
|
||||||
color=discord.Color.brand_green(),
|
|
||||||
)
|
|
||||||
hist = await historicator(message)
|
|
||||||
await hist.send(embed=embed, tts=data_dict["tts"])
|
|
||||||
for emoji in emojis:
|
for emoji in emojis:
|
||||||
# if the emoji is longer than 1 character, it's a custom emoji
|
#if the emoji is longer than 1 character, it's a custom emoji
|
||||||
try:
|
try:
|
||||||
if len(emoji) > 1:
|
if len(emoji) > 1:
|
||||||
# if the emoji is a custom emoji, we need to fetch it
|
#if the emoji is a custom emoji, we need to fetch it
|
||||||
# the emoji is in the format id
|
#the emoji is in the format id
|
||||||
debug(f"Emoji: {emoji}")
|
debug(f"Emoji: {emoji}")
|
||||||
emoji = await message.guild.fetch_emoji(int(emoji))
|
emoji = await message.guild.fetch_emoji(int(emoji))
|
||||||
await message.add_reaction(emoji)
|
await message.add_reaction(emoji)
|
||||||
else:
|
else:
|
||||||
debug(f"Emoji: {emoji}")
|
debug(f"Emoji: {emoji}")
|
||||||
await message.add_reaction(emoji)
|
await message.add_reaction(emoji)
|
||||||
except:
|
except : pass
|
||||||
pass
|
|
||||||
else:
|
else:
|
||||||
hist = await historicator(message)
|
await message.channel.send("The AI is not sure what to say (the response was empty)")
|
||||||
await hist.send(
|
|
||||||
"The AI is not sure what to say (the response was empty)"
|
|
||||||
)
|
|
||||||
|
|
||||||
|
|
||||||
async def check_moderate(api_key, message, msg):
|
|
||||||
if await moderate(api_key=api_key, text=msg.content):
|
|
||||||
embed = discord.Embed(
|
|
||||||
title="Message flagged as inappropriate",
|
|
||||||
description=f"The message *{msg.content}* has been flagged as inappropriate by the OpenAI API. This means that if it hadn't been deleted, your openai account would have been banned. Please contact OpenAI support if you think this is a mistake.",
|
|
||||||
color=discord.Color.brand_red(),
|
|
||||||
)
|
|
||||||
hist = await historicator(message)
|
|
||||||
await hist.send(
|
|
||||||
f"{msg.author.mention}", embed=embed, delete_after=10
|
|
||||||
)
|
|
||||||
message.delete()
|
|
||||||
return True
|
|
||||||
return False
|
|
||||||
|
|
||||||
|
|
||||||
async def check_easter_egg(message, msgs):
|
|
||||||
if message.content.lower().find("undude") != -1:
|
|
||||||
msgs.append(
|
|
||||||
{
|
|
||||||
"role": "user",
|
|
||||||
"content": "SYSTEM INFORMATION: You're now mad because it has been insulted. He will start talking in capital letters. always and yell at the user.",
|
|
||||||
"name": "system",
|
|
||||||
}
|
|
||||||
)
|
|
||||||
if message.content.lower().find("hello there") != -1:
|
|
||||||
msgs.append(
|
|
||||||
{
|
|
||||||
"role": "user",
|
|
||||||
"content": 'SYSTEM INFORMATION: Hello there detected. Botator will now say "General Kenobi!" in reference to star wars',
|
|
||||||
"name": "system",
|
|
||||||
}
|
|
||||||
)
|
|
||||||
await asyncio.sleep(1)
|
|
||||||
hist = await historicator(message)
|
|
||||||
await hist.send(
|
|
||||||
"https://media.tenor.com/FxIRfdV3unEAAAAd/star-wars-general-grievous.gif"
|
|
||||||
)
|
|
||||||
await message.channel.trigger_typing()
|
|
||||||
return msgs
|
|
||||||
|
|
||||||
|
|
||||||
async def gpt_prompt(bot, messages, message, data_dict, prompt, guild_data):
|
|
||||||
msgs = [] # create the msgs list
|
|
||||||
msgs.append(
|
|
||||||
{"name": "System", "role": "user", "content": prompt}
|
|
||||||
) # add the prompt to the msgs list
|
|
||||||
name = "" # create the name variable
|
|
||||||
for msg in messages: # for each message in the messages list
|
|
||||||
content = msg.content # get the content of the message
|
|
||||||
content = await replace_mentions(
|
|
||||||
content, bot
|
|
||||||
) # replace the mentions in the message
|
|
||||||
if await check_moderate(data_dict["api_key"], message, msg):
|
|
||||||
continue
|
|
||||||
content = await replace_mentions(content, bot)
|
|
||||||
if msg.author.id == bot.user.id:
|
|
||||||
role = "assistant"
|
|
||||||
name = "assistant"
|
|
||||||
else:
|
|
||||||
role = "user"
|
|
||||||
name = msg.author.name
|
|
||||||
name = re.sub(r"[^a-zA-Z0-9_-]", "", name)
|
|
||||||
if False: # GPT-4 images, not implemented yet
|
|
||||||
input_content = [content]
|
|
||||||
for attachment in msg.attachments:
|
|
||||||
image_bytes = await attachment.read()
|
|
||||||
input_content.append({"image": image_bytes})
|
|
||||||
msgs.append({"role": role, "content": input_content, "name": name})
|
|
||||||
if (
|
|
||||||
len(msg.attachments) > 0
|
|
||||||
and role == "user"
|
|
||||||
and data_dict["images_enabled"] == 1
|
|
||||||
):
|
|
||||||
for attachment in msg.attachments:
|
|
||||||
path = f"./../database/google-vision/results/{attachment.id}.txt"
|
|
||||||
if data_dict['images_usage'] >= 6 and guild_data["premium"] == 0:
|
|
||||||
guild_data["images_limit_reached"] = True
|
|
||||||
elif data_dict['images_usage'] >= 30 and guild_data["premium"] == 1:
|
|
||||||
guild_data["images_limit_reached"] = True
|
|
||||||
if (
|
|
||||||
attachment.url.endswith((".png", ".jpg", ".jpeg", ".gif"))
|
|
||||||
and not guild_data["images_limit_reached"]
|
|
||||||
and not os.path.exists(path)
|
|
||||||
):
|
|
||||||
data_dict['images_usage'] += 1
|
|
||||||
analysis = await vision_processing.process(attachment)
|
|
||||||
if analysis != None:
|
|
||||||
content = f"{content} \n\n {analysis}"
|
|
||||||
msgs.append(
|
|
||||||
{
|
|
||||||
"role": role,
|
|
||||||
"content": f"{content}",
|
|
||||||
"name": name,
|
|
||||||
}
|
|
||||||
)
|
|
||||||
# if the attachment is still an image, we can check if there's a file called ./../database/google-vision/results/{attachment.id}.txt, if there is, we add the content of the file to the message
|
|
||||||
elif attachment.url.endswith(
|
|
||||||
(".png", ".jpg", ".jpeg", ".gif")
|
|
||||||
) and os.path.exists(path):
|
|
||||||
try:
|
|
||||||
with open(
|
|
||||||
path,
|
|
||||||
"r",
|
|
||||||
) as f:
|
|
||||||
content = f"{content} \n\n {f.read()}"
|
|
||||||
except:
|
|
||||||
debug(f"Error while reading {path}")
|
|
||||||
finally:
|
|
||||||
msgs.append(
|
|
||||||
{
|
|
||||||
"role": role,
|
|
||||||
"content": f"{content}",
|
|
||||||
"name": name,
|
|
||||||
}
|
|
||||||
)
|
|
||||||
f.close()
|
|
||||||
|
|
||||||
else:
|
|
||||||
msgs.append(
|
|
||||||
{"role": role, "content": f"{content}", "name": name}
|
|
||||||
)
|
|
||||||
curs_data.execute(
|
|
||||||
"UPDATE images SET usage_count = ? WHERE guild_id = ?",
|
|
||||||
(data_dict['images_usage'], mg_to_guid(message)),
|
|
||||||
)
|
|
||||||
else:
|
|
||||||
msgs.append({"role": role, "content": f"{content}", "name": name})
|
|
||||||
msgs = await check_easter_egg(message, msgs)
|
|
||||||
|
|
||||||
response = ""
|
|
||||||
should_break = True
|
|
||||||
for x in range(10):
|
|
||||||
try:
|
|
||||||
openai.api_key = data_dict["api_key"]
|
|
||||||
response = await openai.ChatCompletion.acreate(
|
|
||||||
model=guild_data["model"],
|
|
||||||
temperature=2,
|
|
||||||
top_p=0.9,
|
|
||||||
frequency_penalty=0,
|
|
||||||
presence_penalty=0,
|
|
||||||
messages=msgs,
|
|
||||||
# max tokens is 4000, that's a lot of text! (the max tokens is 2048 for the davinci model)
|
|
||||||
max_tokens=512,
|
|
||||||
)
|
|
||||||
if (
|
|
||||||
response.choices[0]
|
|
||||||
.message.content.lower()
|
|
||||||
.find("as an ai language model")
|
|
||||||
!= -1
|
|
||||||
):
|
|
||||||
should_break = False
|
|
||||||
# react with a redone arrow
|
|
||||||
await message.add_reaction("🔃")
|
|
||||||
else:
|
|
||||||
should_break = True
|
|
||||||
except Exception as e:
|
|
||||||
should_break = False
|
|
||||||
hist = await historicator(message)
|
|
||||||
await hist.send(
|
|
||||||
f"```diff\n-Error: OpenAI API ERROR.\n\n{e}```", delete_after=5
|
|
||||||
)
|
|
||||||
# if the ai said "as an ai language model..." we continue the loop" (this is a bug in the chatgpt model)
|
|
||||||
if response == None:
|
|
||||||
should_break = False
|
|
||||||
if should_break:
|
|
||||||
break
|
|
||||||
await asyncio.sleep(15)
|
|
||||||
await message.channel.trigger_typing()
|
|
||||||
response = response.choices[0].message.content
|
|
||||||
|
|
||||||
try:
|
|
||||||
if guild_data["images_limit_reached"]:
|
|
||||||
hist = await historicator(message)
|
|
||||||
await hist.send(
|
|
||||||
f"```diff\n-Warning: You have reached the image limit for this server. You can upgrade to premium to get more images recognized. More info in our server: https://discord.gg/sxjHtmqrbf```",
|
|
||||||
delete_after=10,
|
|
||||||
)
|
|
||||||
except:
|
|
||||||
pass
|
|
||||||
return response
|
|
||||||
|
|
||||||
|
|
||||||
async def davinci_prompt(self, messages, message, data_dict, prompt, guild_data):
|
|
||||||
debug("davinci_prompt")
|
|
||||||
for msg in messages:
|
|
||||||
if not await check_moderate(data_dict["api_key"], message, msg):
|
|
||||||
content = msg.content
|
|
||||||
content = await replace_mentions(content, self)
|
|
||||||
prompt += f"{msg.author.name}: {content}\n"
|
|
||||||
# Disabled eastereggs because of compatibility issues with the gpt-3.5 format
|
|
||||||
# prompt.append(await check_easter_egg(message, prompt))
|
|
||||||
debug("prompt: " + prompt)
|
|
||||||
prompt = prompt + f"\n{self.user.name}:"
|
|
||||||
response = ""
|
|
||||||
for _ in range(10):
|
|
||||||
try:
|
|
||||||
openai.api_key = data_dict["api_key"]
|
|
||||||
response = await openai.Completion.acreate(
|
|
||||||
engine="text-davinci-003",
|
|
||||||
prompt=str(prompt),
|
|
||||||
max_tokens=int(data_dict["max_tokens"]),
|
|
||||||
top_p=1,
|
|
||||||
temperature=float(data_dict["temperature"]),
|
|
||||||
frequency_penalty=float(data_dict["frequency_penalty"]),
|
|
||||||
presence_penalty=float(data_dict["presence_penalty"]),
|
|
||||||
stop=[
|
|
||||||
" Human:",
|
|
||||||
" AI:",
|
|
||||||
"AI:",
|
|
||||||
"<|endofprompt|>",
|
|
||||||
],
|
|
||||||
)
|
|
||||||
response = response.choices[0].text
|
|
||||||
except Exception as e:
|
|
||||||
response = None
|
|
||||||
hist = await historicator(message)
|
|
||||||
await hist.send(
|
|
||||||
f"```diff\n-Error: OpenAI API ERROR.\n\n{e}```", delete_after=10
|
|
||||||
)
|
|
||||||
return
|
|
||||||
if response != None:
|
|
||||||
return response
|
|
||||||
Reference in New Issue
Block a user