import discord import logging import os from huggingface_hub import InferenceClient from transformers import pipeline import asyncio import subprocess import re # 로깅 설정 logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s: %(message)s', handlers=[logging.StreamHandler()]) # 인텐트 설정 intents = discord.Intents.default() intents.message_content = True intents.messages = True intents.guilds = True intents.guild_messages = True # 추론 API 클라이언트 설정 hf_client = InferenceClient("CohereForAI/c4ai-command-r-plus", token=os.getenv("HF_TOKEN")) # 수학 전문 LLM 파이프라인 설정 math_pipe = pipeline("text-generation", model="AI-MO/NuminaMath-7B-TIR") # 특정 채널 ID SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID")) # 대화 히스토리를 저장할 전역 변수 conversation_history = [] class MyClient(discord.Client): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.is_processing = False async def on_ready(self): logging.info(f'{self.user}로 로그인되었습니다!') subprocess.Popen(["python", "web.py"]) logging.info("Web.py server has been started.") async def on_message(self, message): if message.author == self.user: return if not self.is_message_in_specific_channel(message): return if self.is_processing: return self.is_processing = True try: if self.is_math_question(message.content): response = await self.handle_math_question(message.content) else: response = await self.generate_response(message) await self.send_long_message(message.channel, response) finally: self.is_processing = False def is_message_in_specific_channel(self, message): return message.channel.id == SPECIFIC_CHANNEL_ID or ( isinstance(message.channel, discord.Thread) and message.channel.parent_id == SPECIFIC_CHANNEL_ID ) def is_math_question(self, content): return bool(re.search(r'\b(solve|equation|calculate|math)\b', content, re.IGNORECASE)) async def handle_math_question(self, question): loop = asyncio.get_event_loop() response = await loop.run_in_executor(None, lambda: math_pipe([{"role": "user", "content": question}])) return response[0]['generated_text'] async def generate_response(self, message): global conversation_history user_input = message.content user_mention = message.author.mention conversation_history.append({"role": "user", "content": user_input}) messages = [{"role": "system", "content": "한글로 답변하십시오."}] + conversation_history response = await asyncio.get_event_loop().run_in_executor(None, lambda: hf_client.chat_completion( messages, max_tokens=1000, stream=True, temperature=0.7, top_p=0.85)) full_response = ''.join([part.choices[0].delta.content for part in response if part.choices and part.choices[0].delta and part.choices[0].delta.content]) conversation_history.append({"role": "assistant", "content": full_response}) return f"{user_mention}, {full_response}" async def send_long_message(self, channel, message): if len(message) <= 2000: await channel.send(message) else: parts = [message[i:i+2000] for i in range(0, len(message), 2000)] for part in parts: await channel.send(part) if __name__ == "__main__": discord_client = MyClient(intents=intents) discord_client.run(os.getenv('DISCORD_TOKEN'))