LLM-As-Chatbot / discord_app.py
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import os
import copy
import json
import types
import asyncio
import argparse
from urlextract import URLExtract
from urllib.request import urlopen
from concurrent.futures import ThreadPoolExecutor
import discord
from discord.errors import HTTPException
import global_vars
from pingpong.context import InternetSearchStrategy, SimilaritySearcher
from discordbot.req import (
sync_task, build_prompt, build_ppm
)
from discordbot.flags import parse_req
from discordbot import helps, post
from dumb_utils import URLSearchStrategy
model_info = json.load(open("model_cards.json"))
intents = discord.Intents.default()
intents.members = True
client = discord.Client(intents=intents)
queue = asyncio.Queue()
special_words = [
"help",
"model-info",
"default-params",
]
max_response_length = 2000
async def build_prompt_and_reply(executor, user_name, user_id):
other_job_on_progress = False
loop = asyncio.get_running_loop()
print(queue.qsize())
msg = await queue.get()
user_msg, user_args = parse_req(
msg.content.replace(f"@{user_name} ", "").replace(f"<@{user_id}> ", ""), global_vars.gen_config
)
if user_msg == "help":
await msg.channel.send(helps.get_help())
elif user_msg == "model-info":
await msg.channel.send(helps.get_model_info(model_name, model_info))
elif user_msg == "default-params":
await msg.channel.send(helps.get_default_params(global_vars.gen_config, user_args["max-windows"]))
else:
try:
ppm = await build_ppm(msg, user_msg, user_name, user_id)
if user_args["internet"] and serper_api_key is not None:
other_job_on_progress = True
progress_msg = await msg.reply("Progress 🚧", mention_author=False)
internet_search_ppm = copy.deepcopy(ppm)
internet_search_prompt = f"My question is '{user_msg}'. Based on the conversation history, give me an appropriate query to answer my question for google search. You should not say more than query. You should not say any words except the query."
internet_search_ppm.pingpongs[-1].ping = internet_search_prompt
internet_search_prompt = await build_prompt(
internet_search_ppm,
ctx_include=False,
win_size=user_args["max-windows"]
)
internet_search_prompt_response = await loop.run_in_executor(
executor, sync_task, internet_search_prompt, user_args
)
internet_search_prompt_response = post.clean(internet_search_prompt_response)
ppm.pingpongs[-1].ping = internet_search_prompt_response
await progress_msg.edit(
content=f"β€’ Search query re-organized by LLM: {internet_search_prompt_response}",
suppress=True
)
searcher = SimilaritySearcher.from_pretrained(device=global_vars.device)
logs = ""
for step_ppm, step_msg in InternetSearchStrategy(
searcher, serper_api_key=serper_api_key
)(ppm, search_query=internet_search_prompt_response, top_k=8):
ppm = step_ppm
logs = logs + step_msg + "\n"
await progress_msg.edit(content=logs, suppress=True)
else:
url_extractor = URLExtract()
urls = url_extractor.find_urls(user_msg)
print(f"urls = {urls}")
if len(urls) > 0:
progress_msg = await msg.reply("Progress 🚧", mention_author=False)
other_job_on_progress = True
searcher = SimilaritySearcher.from_pretrained(device=global_vars.device)
logs = ""
for step_result, step_ppm, step_msg in URLSearchStrategy(searcher)(ppm, urls, top_k=8):
if step_result is True:
ppm = step_ppm
logs = logs + step_msg + "\n"
await progress_msg.edit(content=logs, suppress=True)
else:
ppm = step_ppm
logs = logs + step_msg + "\n"
await progress_msg.edit(content=logs, suppress=True)
await asyncio.sleep(2)
break
prompt = await build_prompt(ppm, win_size=user_args["max-windows"])
response = await loop.run_in_executor(
executor, sync_task,
prompt, user_args
)
response = post.clean(response)
response = f"**{model_name}** πŸ’¬\n{response.strip()}"
if len(response) >= max_response_length:
response = response[:max_response_length]
if other_job_on_progress is True:
await progress_msg.delete()
await msg.reply(response, mention_author=False)
except IndexError:
await msg.channel.send("Index error")
except HTTPException:
pass
async def background_task(user_name, user_id, max_workers):
executor = ThreadPoolExecutor(max_workers=max_workers)
print("Task Started. Waiting for inputs.")
while True:
await build_prompt_and_reply(executor, user_name, user_id)
@client.event
async def on_ready():
print(f"Logged in as {client.user}")
asyncio.get_running_loop().create_task(
background_task(
client.user.name,
client.user.id,
max_workers,
)
)
@client.event
async def on_message(message):
if message.author == client.user:
return
if isinstance(message.channel, discord.channel.DMChannel) or\
(client.user and client.user.mentioned_in(message)):
await queue.put(message)
def off_modes(args):
args.mode_cpu = False
args.mode_mps = False
args.mode_8bit = False
args.mode_4bit = False
args.mode_full_gpu = False
return args
def discord_main(args):
if args.token is None:
args.token = os.getenv('DISCORD_BOT_TOKEN')
if args.model_name is None:
args.model_name = os.getenv('DISCORD_BOT_MODEL_NAME')
if args.token is None or args.model_name is None:
print('Either or both of token and model-name is not provided')
print('Set them through CLI or environment variables(DISCORD_BOT_TOKEN, DISCORD_BOT_MODEL_NAME)')
quit()
if os.getenv('DISCORD_BOT_MAX_WORKERS'):
args.max_workers = int(os.getenv('DISCORD_BOT_MAX_WORKERS'))
if os.getenv('DISCORD_BOT_LOAD_MODE'):
mode = os.getenv('DISCORD_BOT_LOAD_MODE')
if mode == "CPU":
off_modes(args)
args.mode_cpu = True
elif mode == "MPS":
off_modes(args)
args.mode_mps = True
elif mode == "8BIT":
off_modes(args)
args.mode_8bit = True
elif mode == "4BIT":
off_modes(args)
args.mode_4bit = True
elif mode == "HALF":
off_modes(args)
args.mode_full_gpu = True
global max_workers
global model_name
global serper_api_key
max_workers = args.max_workers
model_name = args.model_name
serper_api_key = args.serper_api_key
selected_model_info = model_info[model_name]
tmp_args = types.SimpleNamespace()
tmp_args.base_url = selected_model_info['hub(base)']
tmp_args.ft_ckpt_url = selected_model_info['hub(ckpt)']
tmp_args.gen_config_path = selected_model_info['default_gen_config']
tmp_args.gen_config_summarization_path = selected_model_info['default_gen_config']
tmp_args.force_download_ckpt = False
tmp_args.thumbnail_tiny = selected_model_info['thumb-tiny']
tmp_args.mode_cpu = args.mode_cpu
tmp_args.mode_mps = args.mode_mps
tmp_args.mode_8bit = args.mode_8bit
tmp_args.mode_4bit = args.mode_4bit
tmp_args.mode_full_gpu = args.mode_full_gpu
tmp_args.local_files_only = args.local_files_only
try:
global_vars.initialize_globals(tmp_args)
except RuntimeError as e:
print("GPU memory is not enough to load this model.")
quit()
client.run(args.token)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
# can be set via environment variable
# --token == DISCORD_BOT_TOKEN
# --model-name == DISCORD_BOT_MODEL_NAME
parser.add_argument('--token', default=None, type=str)
parser.add_argument('--model-name', default=None, type=str)
parser.add_argument('--max-workers', default=1, type=int)
parser.add_argument('--mode-cpu', default=False, action=argparse.BooleanOptionalAction)
parser.add_argument('--mode-mps', default=False, action=argparse.BooleanOptionalAction)
parser.add_argument('--mode-8bit', default=False, action=argparse.BooleanOptionalAction)
parser.add_argument('--mode-4bit', default=False, action=argparse.BooleanOptionalAction)
parser.add_argument('--mode-full-gpu', default=True, action=argparse.BooleanOptionalAction)
parser.add_argument('--local-files-only', default=False, action=argparse.BooleanOptionalAction)
parser.add_argument('--serper-api-key', default=None, type=str)
args = parser.parse_args()
discord_main(args)