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import discord
import logging
import os
from huggingface_hub import InferenceClient
import requests
import asyncio
import subprocess
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Set Pixabay API key
os.environ['PIXABAY_API_KEY'] = "33492762-a28a596ec4f286f84cd328b17"
# Logging setup
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s:%(message)s', handlers=[logging.StreamHandler()])
# Intent setup
intents = discord.Intents.default()
intents.message_content = True
intents.messages = True
intents.guilds = True
intents.guild_messages = True
# Inference API client setup
hf_client = InferenceClient("meta-llama/Meta-Llama-3.1-70B-Instruct", token=os.getenv("HF_TOKEN"))
# Pixabay API setup
PIXABAY_API_KEY = os.getenv("PIXABAY_API_KEY")
PIXABAY_API_URL = "https://pixabay.com/api/"
# Specific channel ID
SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID"))
# Global variable to store conversation history
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}λ‘ λ‘κ·ΈμΈλμμ΅λλ€!')
subprocess.Popen(["python", "web.py"])
logging.info("Web.py server has been started.")
# Send a guide message when the bot starts
channel = self.get_channel(SPECIFIC_CHANNEL_ID)
if channel:
await channel.send("μ°Ύκ³ μΆμ μ¬μ§μ λν μ€λͺ
μ ν λ¬Έμ₯ λ¨μλ‘ μ
λ ₯νμΈμ. μ) λλ°μ λ°μ΄ λκ³ μλ νμ€ν€")
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:
# Extract English keywords from the meaning analysis
keywords = await extract_keywords(message)
if keywords:
# Search for high-resolution images using Pixabay API
image_urls = await search_images(keywords)
if image_urls:
# Create a thread with the requester and send high-resolution images
await create_thread_and_send_images(message, keywords, image_urls)
else:
await message.channel.send(f"**{keywords}**μ λν κ³ ν΄μλ μ΄λ―Έμ§λ₯Ό μ°Ύμ μ μμ΅λλ€.")
else:
await message.channel.send("ν€μλλ₯Ό μΆμΆν μ μμ΅λλ€.")
finally:
self.is_processing = False
def is_message_in_specific_channel(self, message):
# Return True if the message is in the specified channel or in a thread of that channel
return message.channel.id == SPECIFIC_CHANNEL_ID or (
isinstance(message.channel, discord.Thread) and message.channel.parent_id == SPECIFIC_CHANNEL_ID
)
async def extract_keywords(message):
user_input = message.content
system_prompt = "λ€μ λ¬Έμ₯μ μλ―Έμ λ§λ μλ¬Έ ν€μλλ₯Ό μΆμΆνμΈμ: "
logging.debug(f'Extracting keywords from user input: {user_input}')
messages = [{"role": "system", "content": system_prompt + user_input}]
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=10, temperature=0.7, top_p=0.85))
# Parse Hugging Face response
if response.choices and response.choices[0].message:
keywords = response.choices[0].message['content'].strip()
else:
keywords = ""
logging.debug(f'Extracted keywords: {keywords}')
return keywords
async def search_images(keywords):
params = {
"key": PIXABAY_API_KEY,
"q": keywords,
"per_page": 10, # Get up to 10 images
"image_type": "photo"
}
response = requests.get(PIXABAY_API_URL, params=params)
if response.status_code == 200:
data = response.json()
return [hit['largeImageURL'] for hit in data['hits']]
logging.error(f"Pixabay API error: {response.status_code}, {response.text}")
return None
async def create_thread_and_send_images(message, keywords, image_urls):
# Create a thread
thread = await message.channel.create_thread(name=f"{message.author.name}μ κ²μ κ²°κ³Ό", message=message)
message_content = f"**{keywords}**μ λν κ³ ν΄μλ μ΄λ―Έμ§ {len(image_urls)}μ₯μ μ°Ύμμ΅λλ€:"
await thread.send(message_content)
for url in image_urls:
await thread.send(url)
if __name__ == "__main__":
discord_client = MyClient(intents=intents)
discord_client.run(os.getenv('DISCORD_TOKEN')) |