Batsy25.py

import os
import discord
import openai
import torch as tf
from sklearn.linear_model import LinearRegression
import gym

# Check if a CUDA GPU is available for GPU acceleration
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

# Initialize Discord client and OpenAI API key
client = discord.Client()
openai.api_key = ""

# Create a CartPole environment
env = gym.make('CartPole-v1')

# Event handler for when the bot is ready
@client.event
async def on_ready():
    print(f'Bot is ready. Logged in as {client.user}')

# Event handler for when a message is received
@client.event
async def on_message(message):
    if message.author == client.user:
        return

    if message.content.startswith("!llm"):
        # Extract the query from the message content
        query = message.content[5:].strip()

        # Use gym to interact with the environment (example)
        if query == "cartpole":
            total_reward = 0
            done = False
            state = env.reset()

            while not done:
                action = env.action_space.sample()  # Random action for demonstration
                state, reward, done, _ = env.step(action)
                total_reward += reward

            result_text = f'Total Reward: {total_reward}'

            # Send the result back to the Discord channel
            await message.channel.send(result_text)

# Run the bot with your Discord token
client.run("")

python run discord.python