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import discord
import logging
import os
from huggingface_hub import InferenceClient
import asyncio
import subprocess
# ๋ก๊น
์ค์
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s: %(message)s', handlers=[logging.StreamHandler()])
# ์ธํ
ํธ ์ค์
intents = discord.Intents.default()
intents.message_content = True
intents.messages = True
intents.guilds = True
intents.guild_messages = True
# ์ถ๋ก API ํด๋ผ์ด์ธํธ ์ค์
hf_client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct", token=os.getenv("HF_TOKEN"))
# ํน์ ์ฑ๋ ID
SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID"))
# ๋ํ ํ์คํ ๋ฆฌ๋ฅผ ์ ์ฅํ ์ ์ญ ๋ณ์
conversation_history = []
class MyClient(discord.Client):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.is_processing = False
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:
response = await generate_response(message)
await message.channel.send(response)
finally:
self.is_processing = False
def is_message_in_specific_channel(self, message):
# ๋ฉ์์ง๊ฐ ์ง์ ๋ ์ฑ๋์ด๊ฑฐ๋, ํด๋น ์ฑ๋์ ์ฐ๋ ๋์ธ ๊ฒฝ์ฐ True ๋ฐํ
return message.channel.id == SPECIFIC_CHANNEL_ID or (
isinstance(message.channel, discord.Thread) and message.channel.parent_id == SPECIFIC_CHANNEL_ID
)
async def generate_response(message):
global conversation_history # ์ ์ญ ๋ณ์ ์ฌ์ฉ์ ๋ช
์
user_input = message.content
user_mention = message.author.mention
system_message = f"{user_mention}, DISCORD์์ ์ฌ์ฉ์๋ค์ ์ง๋ฌธ์ ๋ตํ๋ ์ด์์คํดํธ์
๋๋ค."
system_prefix = """
๋ฐ๋์ ํ๊ธ๋ก ๋ต๋ณํ์ญ์์ค.
"""
conversation_history.append({"role": "user", "content": user_input})
logging.debug(f'Conversation history updated: {conversation_history}')
messages = [{"role": "system", "content": f"{system_prefix} {system_message}"}] + conversation_history
logging.debug(f'Messages to be sent to the model: {messages}')
loop = asyncio.get_event_loop()
response = await 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 = []
for part in response:
logging.debug(f'Part received from stream: {part}')
if part.choices and part.choices[0].delta and part.choices[0].delta.content:
full_response.append(part.choices[0].delta.content)
full_response_text = ''.join(full_response)
logging.debug(f'Full model response: {full_response_text}')
conversation_history.append({"role": "assistant", "content": full_response_text})
return f"{user_mention}, {full_response_text}"
if __name__ == "__main__":
discord_client = MyClient(intents=intents)
discord_client.run(os.getenv('DISCORD_TOKEN'))
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