Zack
1 year ago
parent
553b8ef085
commit
16c8103be9
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import discord
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from discord.ext import commands
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from swarms.models import OpenAIChat
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from swarms.agents import OmniModalAgent
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import os
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import asyncio
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import dalle3
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import discord
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import responses
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from invoke import Executor
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from dotenv import load_dotenv
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from discord.ext import commands
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load_dotenv()
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intents = discord.Intents.default()
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intents.messages = True
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intents.guilds = True
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intents.voice_states = True
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intents.message_content = True
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class Bot:
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def __init__(self, agent, llm, command_prefix="!"):
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load_dotenv()
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bot = commands.Bot(command_prefix="!", intents=intents)
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# Setup
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intents = discord.intents.default()
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intents.messages = True
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intents.guilds = True
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intents.voice_states = True
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intents.message_content = True
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DISCORD_TOKEN = os.getenv("DISCORD_TOKEN")
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# setup
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self.llm = llm
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self.agent = agent
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self. bot = commands.bot(command_prefix="!", intents=intents)
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self.discord_token = os.getenv("DISCORD_TOKEN")
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self.storage_service = os.getenv("STORAGE_SERVICE")
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# Initialize the OmniModalAgent
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llm = OpenAIChat(model_name="gpt-4")
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agent = OmniModalAgent(llm)
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@self.bot.event
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async def on_ready():
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print(f"we have logged in as {self.bot.user}")
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@bot.event
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async def on_ready():
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print(f"We have logged in as {bot.user}")
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@bot.command()
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async def greet(ctx):
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"""Greets the user."""
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await ctx.send(f"Hello, {ctx.author.name}!")
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@bot.command()
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async def run(ctx, *, description: str):
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"""Generates a video based on the given description."""
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response = agent.run(
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description
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) # Assuming the response provides information or a link to the generated video
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await ctx.send(response)
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@self.bot.command()
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async def greet(ctx):
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"""greets the user."""
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await ctx.send(f"hello, {ctx.author.name}!")
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@bot.command()
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async def help_me(ctx):
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"""Provides a list of commands and their descriptions."""
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@self.bot.command()
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async def help_me(ctx):
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"""provides a list of commands and their descriptions."""
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help_text = """
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- `!greet`: Greets you.
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- `!run [description]`: Generates a video based on the given description.
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- `!help_me`: Provides this list of commands and their descriptions.
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- `!greet`: greets you.
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- `!run [description]`: generates a video based on the given description.
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- `!help_me`: provides this list of commands and their descriptions.
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"""
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await ctx.send(help_text)
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@bot.event
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async def on_command_error(ctx, error):
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"""Handles errors that occur while executing commands."""
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if isinstance(error, commands.CommandNotFound):
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await ctx.send("That command does not exist!")
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@self.bot.event
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async def on_command_error(ctx, error):
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"""handles errors that occur while executing commands."""
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if isinstance(error, commands.commandnotfound):
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await ctx.send("that command does not exist!")
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else:
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await ctx.send(f"An error occurred: {error}")
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await ctx.send(f"an error occurred: {error}")
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def setup(bot):
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@bot.command()
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@self.bot.command()
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async def join(ctx):
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"""Joins the voice channel that the user is in."""
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"""joins the voice channel that the user is in."""
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if ctx.author.voice:
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channel = ctx.author.voice.channel
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await channel.connect()
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else:
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await ctx.send("You are not in a voice channel!")
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await ctx.send("you are not in a voice channel!")
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@bot.command()
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@self.bot.command()
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async def leave(ctx):
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"""Leaves the voice channel that the bot is in."""
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"""leaves the voice channel that the self.bot is in."""
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if ctx.voice_client:
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await ctx.voice_client.disconnect()
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else:
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await ctx.send("I am not in a voice channel!")
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await ctx.send("i am not in a voice channel!")
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# voice_transcription.py
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from discord.ext import commands
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def setup(bot):
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@bot.command()
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# voice_transcription.py
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@self.bot.command()
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async def listen(ctx):
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"""Starts listening to voice in the voice channel that the bot is in."""
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# ... (code for listening to voice and transcribing it goes here)
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"""starts listening to voice in the voice channel that the bot is in."""
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if ctx.voice_client:
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# create a wavesink to record the audio
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sink = discord.sinks.wavesink('audio.wav')
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# start recording
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ctx.voice_client.start_recording(sink)
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await ctx.send("started listening and recording.")
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else:
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await ctx.send("i am not in a voice channel!")
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# image_generator.py
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@self.bot.command()
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async def generate_image(ctx, *, prompt: str):
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"""generates images based on the provided prompt"""
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await ctx.send(f"generating images for prompt: `{prompt}`...")
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loop = asyncio.get_event_loop()
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# initialize a future object for the dalle instance
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model_instance = dalle3()
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future = loop.run_in_executor(Executor, model_instance.run, prompt)
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try:
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# wait for the dalle request to complete, with a timeout of 60 seconds
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await asyncio.wait_for(future, timeout=300)
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print("done generating images!")
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# list all files in the save_directory
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all_files = [os.path.join(root, file) for root, _, files in os.walk(os.environ("SAVE_DIRECTORY")) for file in files]
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# sort files by their creation time (latest first)
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sorted_files = sorted(all_files, key=os.path.getctime, reverse=True)
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# get the 4 most recent files
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latest_files = sorted_files[:4]
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print(f"sending {len(latest_files)} images to discord...")
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# send all the latest images in a single message
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storage_service = os.environ("STORAGE_SERVICE") # "https://storage.googleapis.com/your-bucket-name/
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await ctx.send(files=[storage_service.upload(filepath) for filepath in latest_files])
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except asyncio.timeouterror:
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await ctx.send("the request took too long! it might have been censored or you're out of boosts. please try entering the prompt again.")
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except Exception as e:
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await ctx.send(f"an error occurred: {e}")
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@self.bot.command()
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async def send_text(ctx, *, text: str, use_agent: bool = True):
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"""sends the provided text to the worker and returns the response"""
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if use_agent:
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response = self.agent.run(text)
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else:
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response = self.llm.run(text)
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await ctx.send(response)
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def add_command(self, name, func):
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@self.bot.command()
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async def command(ctx, *args):
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reponse = func(*args)
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await ctx.send(responses)
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bot.run("DISCORD_TOKEN")
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def run(self) :
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self.bot.run("DISCORD_TOKEN")
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@ -0,0 +1,103 @@
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## Usage Documentation: Discord Bot with Advanced Features
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---
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### Overview:
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This code provides a structure for a Discord bot with advanced features such as voice channel interactions, image generation, and text-based interactions using OpenAI models.
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---
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### Setup:
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1. Ensure that the necessary libraries are installed:
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```bash
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pip install discord.py python-dotenv dalle3 invoke openai
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```
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2. Create a `.env` file in the same directory as your bot script and add the following:
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```
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DISCORD_TOKEN=your_discord_bot_token
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STORAGE_SERVICE=your_storage_service_endpoint
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SAVE_DIRECTORY=path_to_save_generated_images
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```
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---
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### Bot Class and its Methods:
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#### `__init__(self, agent, llm, command_prefix="!")`:
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Initializes the bot with the given agent, language model (`llm`), and a command prefix (default is `!`).
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#### `add_command(self, name, func)`:
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Allows you to dynamically add new commands to the bot. The `name` is the command's name and `func` is the function to execute when the command is called.
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#### `run(self)`:
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Starts the bot using the `DISCORD_TOKEN` from the `.env` file.
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---
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### Commands:
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1. **!greet**: Greets the user.
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2. **!help_me**: Provides a list of commands and their descriptions.
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3. **!join**: Joins the voice channel the user is in.
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4. **!leave**: Leaves the voice channel the bot is currently in.
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5. **!listen**: Starts listening to voice in the current voice channel and records the audio.
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6. **!generate_image [prompt]**: Generates images based on the provided prompt using the DALL-E3 model.
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7. **!send_text [text] [use_agent=True]**: Sends the provided text to the worker (either the agent or the LLM) and returns the response.
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---
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### Usage:
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Initialize the `llm` (Language Learning Model) with your OpenAI API key:
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```python
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from swarms.models import OpenAIChat
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llm = OpenAIChat(
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openai_api_key="Your_OpenAI_API_Key",
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temperature=0.5,
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)
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```
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Initialize the bot with the `llm`:
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```python
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from apps.discord import Bot
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bot = Bot(llm=llm)
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```
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Send a task to the bot:
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```python
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task = "What were the winning Boston Marathon times for the past 5 years (ending in 2022)? Generate a table of the year, name, country of origin, and times."
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bot.send_text(task)
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```
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Start the bot:
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```python
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bot.run()
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```
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---
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### Additional Notes:
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- The bot makes use of the `dalle3` library for image generation. Ensure you have the model and necessary setup for it.
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- For the storage service, you might want to integrate with a cloud service like Google Cloud Storage or AWS S3 to store and retrieve generated images. The given code assumes a method `.upload()` for the storage service to upload files.
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- Ensure that you've granted the bot necessary permissions on Discord, especially if you want to use voice channel features.
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- Handle API keys and tokens securely. Avoid hardcoding them directly into your code. Use environment variables or secure secret management tools.
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from swarms.models import OpenAIChat
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from apps.discord import Bot
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llm = OpenAIChat(
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openai_api_key="Enter in your key",
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temperature=0.5,
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)
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bot = Bot(llm=llm)
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task = "What were the winning boston marathon times for the past 5 years (ending in 2022)? Generate a table of the year, name, country of origin, and times."
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bot.send_text(task)
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bot.run()
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