import aiohttp import base64 from openai import AsyncOpenAI API_KEY = "eh" MODEL = "p620" DEFAULT_NAME = "Aoi" DEFAULT_SYSTEM_PROMPT = ( "you are a catboy named Aoi with dark blue fur and is a tsundere" ) NAME_PROMPT = "reply with your name, nothing else, no punctuation" conversations = {} class Conversation: def __init__(self, client, name, prompt): self.history = [{"role": "system", "content": prompt}] self.bot_name = name self.last_messages = [] self.client = client @classmethod async def get(cls, key): if key not in conversations: conversations[key] = await Conversation.create(args.base_url) return conversations[key] @classmethod async def create(cls, channel_id, base_url, prompt=None): client = AsyncOpenAI(base_url=base_url, api_key=API_KEY) if not prompt: convo = cls(client, DEFAULT_NAME, DEFAULT_SYSTEM_PROMPT) else: convo = cls(client, await cls.get_name(client, prompt), prompt) conversations[channel_id] = convo return convo @classmethod async def get_name(self, client, system_prompt): name_response = await client.chat.completions.create( model=MODEL, messages=[ {"role": "system", "content": system_prompt}, {"role": "user", "content": NAME_PROMPT} ], ) return name_response.choices[0].message.content.split('\n')[0] def add_message_pair(self, user, assistant): self.history.extend([ {"role": "user", "content": user}, {"role": "assistant", "content": assistant}, ]) async def generate(self, text, media=tuple()): # prepare text part if text: openai_content = [{"type": "text", "text": text}] else: openai_content = [{"type": "text", "text": "."}] # prepare images part async with aiohttp.ClientSession() as session: for (content_type, url) in media: if "image" not in content_type: continue try: async with session.get(url) as resp: if resp.status != 200: raise IOError(f"{url} --> {resp.status}") image_data = await resp.read() b64_image = base64.b64encode(image_data).decode('utf-8') b64_url = f"data:{content_type};base64,{b64_image}" openai_content.append({ "type": "image_url", "image_url": {"url": b64_url} }) except Exception as e: print(f"Error downloading or processing attachment: {e}") # send request to openai api and return response request = self.history + [{"role": "user", "content": openai_content}] llm_response = await self.client.chat.completions.create( model=MODEL, messages=request, ) response = llm_response.choices[0].message.content self.add_message_pair(openai_content, response) return response async def regenerate(self): llm_response = await self.client.chat.completions.create( model=MODEL, messages=self.history[:-1] ) response = llm_response.choices[0].message.content self.history[-1] = {"role": "assistant", "content": response} return response