[MAKEPROMPT] Cleaned a bit

Still a lots of work to be done
This commit is contained in:
Alexis LEBEL
2023-03-31 16:10:41 +02:00
parent bd1fa13924
commit 64df09b248

View File

@@ -1,11 +1,11 @@
import asyncio
from config import c, max_uses, cp, conn, debug, moderate
from config import curs_data, max_uses, curs_premium, con_data, debug, moderate
import vision_processing
import re
import discord
import datetime
import openai
import emoji # pip install emoji
import emoji
import os
@@ -46,63 +46,91 @@ async def extract_emoji(string):
return found_emojis, string
async def chat_process(self, message):
if message.author.bot:
return
try:
c.execute("SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
except:
return
data = c.fetchone()
channel_id = data[1]
api_key = data[2]
is_active = data[3]
max_tokens = data[4]
temperature = data[5]
frequency_penalty = data[6]
presence_penalty = data[7]
uses_count_today = data[8]
prompt_size = data[9]
prompt_prefix = data[10]
tts = data[11]
pretend_to_be = data[12]
pretend_enabled = data[13]
images_limit_reached = False
def get_guild_data(message):
"""This function gets the data of the guild where the message was sent.
Args:
message (str): Data of the message that was sent
Returns:
dict: A dictionary with the data of the guild
"""
guild_data = {}
try:
cp.execute("SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
except:
pass
try:
c.execute(
curs_data.execute(
"SELECT * FROM model WHERE guild_id = ?", (message.guild.id,)
) # get the model in the database
model = c.fetchone()[1]
data = curs_data.fetchone()
model = model[1]
except:
model = "chatGPT"
try:
premium = cp.fetchone()[2] # get the premium status of the guild
data = cp.fetchone() # [2] # get the premium status of the guild
premium = data[2]
except:
premium = 0 # if the guild is not in the database, it's not premium
try:
c.execute(
curs_data.execute(
"SELECT * FROM images WHERE guild_id = ?", (message.guild.id,)
) # get the images setting in the database
data = c.fetchone()
images = curs_data.fetchone()
except:
data = None
images = None
guild_data["model"] = model
guild_data["premium"] = premium
guild_data["images"] = images
return guild_data
async def chat_process(self, message):
if message.author.bot:
return
try:
curs_data.execute("SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
except:
return
data = curs_data.fetchone()
# Create a dict with the data
data_dict = {
"channel_id": data[1],
"api_key": data[2],
"is_active": data[3],
"max_tokens": data[4],
"temperature": data[5],
"frequency_penalty": data[6],
"presence_penalty": data[7],
"uses_count_today": data[8],
"prompt_size": data[9],
"prompt_prefix": data[10],
"tts": data[11],
"pretend_to_be": data[12],
"pretend_enabled": data[13],
}
if data is None:
data = [message.guild.id, 0, 0]
images_usage = data[1]
images_enabled = data[2]
data_dict["images_usage"] = data[1]
data_dict["images_enabled"] = data[2]
images_limit_reached = False
guild_data = get_guild_data(message)
channels = []
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
try:
cp.execute("SELECT * FROM channels WHERE guild_id = ?", (message.guild.id,))
data = cp.fetchone()
if premium:
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
@@ -113,7 +141,7 @@ async def chat_process(self, message):
except:
channels = []
if api_key is None:
if data_dict["api_key"] is None:
return # if the api key is not set, return
try:
@@ -135,15 +163,15 @@ async def chat_process(self, message):
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)
and str(message.channel.id) != str(data_dict["channel_id"])
):
return
# 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
# send a message and return
if (
uses_count_today >= max_uses
and premium == 0
data_dict["uses_count_today"] >= max_uses
and guild_data["premium"] == 0
and message.guild.id != 1050769643180146749
):
return await message.channel.send(
@@ -152,11 +180,11 @@ async def chat_process(self, message):
# 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
# send a message and return
elif uses_count_today >= max_uses * 5 and premium == 1:
elif data_dict["uses_count_today"] >= max_uses * 5 and guild_data["premium"] == 1:
return
# if the bot is not active in this guild we return
if is_active == 0:
if data_dict["is_active"] == 0:
return
# if the message starts with - or // it's a comment and we return
@@ -168,26 +196,28 @@ async def chat_process(self, message):
pass
# if the message is not in the owner's guild we update the usage count
if message.guild.id != 1021872219888033903:
c.execute(
curs_data.execute(
"UPDATE data SET uses_count_today = uses_count_today + 1 WHERE guild_id = ?",
(message.guild.id,),
)
conn.commit()
con_data.commit()
# if the message is not a reply
if original_message == None:
messages = await message.channel.history(limit=prompt_size).flatten()
messages = await message.channel.history(
limit=data_dict["prompt_size"]
).flatten()
messages.reverse()
# if the message is a reply, we need to handle the message history differently
else:
messages = await message.channel.history(
limit=prompt_size, before=original_message
limit=data_dict["prompt_size"], before=original_message
).flatten()
messages.reverse()
messages.append(original_message)
messages.append(message)
# if the pretend to be feature is enabled, we add the pretend to be text to the prompt
if pretend_enabled:
if data_dict["pretend_enabled"]:
pretend_to_be = (
f"In this conversation, the assistant pretends to be {pretend_to_be}"
)
@@ -198,7 +228,7 @@ async def chat_process(self, message):
"" # if the prompt prefix is not set, we set it to an empty string
)
# open the prompt file for the selected model with utf-8 encoding for emojis
with open(f"./prompts/{model}.txt", "r", encoding="utf-8") as f:
with open(f"./prompts/{guild_data['model']}.txt", "r", encoding="utf-8") as f:
prompt = f.read()
f.close()
# replace the variables in the prompt with the actual values
@@ -211,113 +241,33 @@ async def chat_process(self, message):
)
.replace("[pretend-to-be]", pretend_to_be)
)
############################## chatGPT and gpt-4 handling ##############################
if (
model == "chatGPT" or model == "gpt-4"
): # if the model is chatGPT, we handle it in a certain way
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, 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):
prompt_handlers = {
"chatGPT": self.gpt_prompt,
"gpt-4": self.gpt_prompt,
"davinci": self.davinci_prompt,
}
prompt_handlers[guild_data["model"]](
messages, message, data_dict, prompt, guild_data
)
async def check_moderate(self, 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 *{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.",
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(),
)
await message.channel.send(
f"{msg.author.mention}", embed=embed, delete_after=10
)
message.delete()
else: # if the message is not flagged as inappropriate
if msg.author.id == self.bot.user.id:
role = "assistant"
name = "assistant"
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}
)
c.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
return True
return False
async def check_easter_egg(self, message, msgs):
if message.content.lower().find("undude") != -1:
msgs.append(
{
@@ -339,13 +289,111 @@ async def chat_process(self, message):
"https://media.tenor.com/FxIRfdV3unEAAAAd/star-wars-general-grievous.gif"
)
await message.channel.trigger_typing()
return msgs
async def gpt_prompt(self, 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, 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 self.check_moderate(data_dict["api_key"], message, msg):
continue # ignore the message
content = await replace_mentions(content, self.bot)
prompt += f"{msg.author.name}: {content}\n"
if msg.author.id == self.bot.user.id:
role = "assistant"
name = "assistant"
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 data_dict["images_enabled"] == 1
):
for attachment in msg.attachments:
path = f"./../database/google-vision/results/{attachment.id}.txt"
if images_usage >= 6 and guild_data["premium"] == 0:
images_limit_reached = True
elif images_usage >= 30 and guild_data["premium"] == 1:
images_limit_reached = True
if (
attachment.url.endswith((".png", ".jpg", ".jpeg", ".gif"))
and images_limit_reached == False
and os.path.exists(path) == 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(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 = ?",
(images_usage, message.guild.id),
)
else:
msgs.append({"role": role, "content": f"{content}", "name": name})
# 2 easter eggs
msgs = await self.check_easter_egg(message, msgs)
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
openai.api_key = data_dict["api_key"]
response = await openai.ChatCompletion.acreate(
model=model,
temperature=2,
@@ -384,48 +432,27 @@ async def chat_process(self, message):
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------------------------------------------------------------------------------------------
elif (
model == "davinci"
): # if the model is davinci or gpt-4, we handle it in a certain way
async def davinci_prompt(self, messages, message, data_dict, prompt, guild_data):
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:
if not await self.check_moderate(data_dict["api_key"], message, msg):
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.append(await check_easter_egg(message, prompt))
prompt = prompt + f"\n{self.bot.user.name}:"
response = ""
for _ in range(10):
try:
openai.api_key = api_key
openai.api_key = data_dict["api_key"]
response = await openai.Completion.acreate(
engine="text-davinci-003",
prompt=str(prompt),
max_tokens=int(max_tokens),
max_tokens=int(data_dict["max_tokens"]),
top_p=1,
temperature=float(temperature),
frequency_penalty=float(frequency_penalty),
presence_penalty=float(presence_penalty),
temperature=float(data_dict["temperature"]),
frequency_penalty=float(data_dict["frequency_penalty"]),
presence_penalty=float(data_dict["presence_penalty"]),
stop=[
" Human:",
" AI:",