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import discord
import logging
import os
import subprocess
from transformers import PaliGemmaForConditionalGeneration, PaliGemmaProcessor
import torch
import re
import requests
from PIL import Image
import io
import asyncio
# λ‘κΉ
μ€μ
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s: %(message)s', handlers=[logging.StreamHandler()])
# λμ€μ½λ μΈν
νΈ μ€μ
intents = discord.Intents.default()
intents.message_content = True
intents.messages = True
intents.guilds = True
intents.guild_messages = True
# PaliGemma λͺ¨λΈ μ€μ (CPU λͺ¨λ)
model = PaliGemmaForConditionalGeneration.from_pretrained("gokaygokay/sd3-long-captioner").to("cpu").eval()
processor = PaliGemmaProcessor.from_pretrained("gokaygokay/sd3-long-captioner")
def modify_caption(caption: str) -> str:
prefix_substrings = [
('captured from ', ''),
('captured at ', '')
]
pattern = '|'.join([re.escape(opening) for opening, _ in prefix_substrings])
replacers = {opening: replacer for opening, replacer in prefix_substrings}
def replace_fn(match):
return replacers[match.group(0)]
return re.sub(pattern, replace_fn, caption, count=1, flags=re.IGNORECASE)
async def create_captions_rich(image: Image.Image) -> str:
prompt = "caption en"
image_tensor = processor(images=image, return_tensors="pt").pixel_values.to("cpu")
image_tensor = (image_tensor * 255).type(torch.uint8)
model_inputs = processor(text=prompt, images=image_tensor, return_tensors="pt").to("cpu")
input_len = model_inputs["input_ids"].shape[-1]
loop = asyncio.get_event_loop()
generation = await loop.run_in_executor(
None,
lambda: model.generate(**model_inputs, max_new_tokens=256, do_sample=False)
)
generation = generation[0][input_len:]
decoded = processor.decode(generation, skip_special_tokens=True)
modified_caption = modify_caption(decoded)
return modified_caption
# νΉμ μ±λ ID μ€μ
SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID", "123456789012345678")) # νκ²½ λ³μ λλ μ§μ μ€μ
# λμ€μ½λ λ΄ μ€μ
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€!')
asyncio.create_task(self.start_gradio_server())
logging.info("Web.py μλ²κ° μμλμμ΅λλ€.")
async def start_gradio_server(self):
subprocess.run(["python", "web.py"], check=True)
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 message.attachments:
image_url = message.attachments[0].url
response = await process_image(image_url, message)
await message.channel.send(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
)
async def process_image(image_url, message):
image = await download_image(image_url)
caption = await create_captions_rich(image)
return f"{message.author.mention}, μΈμλ μ΄λ―Έμ§ μ€λͺ
: {caption}"
async def download_image(url):
response = requests.get(url)
image = Image.open(io.BytesIO(response.content)).convert("RGB") # μ΄λ―Έμ§ λ³ν
return image
if __name__ == "__main__":
discord_client = MyClient(intents=intents)
discord_client.run(os.getenv('DISCORD_TOKEN'))
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