36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
import os
|
||
import discord
|
||
from llama_cpp import Llama
|
||
from dotenv import load_dotenv
|
||
|
||
|
||
class MyClient(discord.Client):
|
||
async def on_ready(self):
|
||
print('Logged on as', self.user)
|
||
|
||
async def on_message(self, message):
|
||
# don't respond to ourselves
|
||
if message.author == self.user:
|
||
return
|
||
|
||
if f"""<@{client.user.id}>""" in message.content:
|
||
|
||
question = f"""Text transcript of a never ending dialog, where ${USER_NAME} interacts with Karl Marx.
|
||
Karl is helpful, kind, honest, friendly, good at writing and never fails to answer ${USER_NAME}’s requests immediately and with details and precision.
|
||
There are no annotations like (30 seconds passed...) or (to himself), just what ${USER_NAME} and Karl say aloud to each other.
|
||
The dialog lasts for years, the entirety of it is shared below. It's 10000 pages long.
|
||
|
||
User: What is Communism?
|
||
Karl: Communism is the doctrine of the conditions of the liberation of the proletariat.
|
||
User: {message.content}"""
|
||
|
||
await message.channel.send(llm(question, max_tokens=256, stop=["User:"], echo=True)["choices"][0]["text"][len(question):])
|
||
|
||
|
||
load_dotenv()
|
||
llm = Llama(model_path="./models/7B/ggml-model-q4_0.bin")
|
||
intents = discord.Intents.default()
|
||
intents.message_content = True
|
||
client = MyClient(intents=intents)
|
||
client.run(os.environ.get("DISCORD_TOKEN"))
|