- Send messages with @ or reply to the bot and get a message back from an LLM
- Use commands to instruct the bot in different ways, with user-specific access
- Have the bot join a VC call, and listen with STT (and know the name of the user talking), send the message to an LLM, and reply with TTS
- Able to understand multiple user's talking at once, and output each transcription with username
- You will need FFMPEG installed for the bot to speak in discord. https://ffmpeg.org/
- Seems like you need python >= 3.8 and <= 3.10. try removing the version requirements in the pip install for older python versions.
- You'll need to install torch for your PC. I tested with cuda 11.8. https://pytorch.org/get-started/locally/
pip install -r requirements.txt
for the required libraries after installing torch. (Note: I previously assumed you needed discord.py instead of py-cord. But it may be you need both)- Create a discord bot using the Discord Developer Portal and add the bot the server you want the bot in. Permissions (I believe) needed are Read Messages, Speak, Connect. https://discord.com/developers
- Edit the discord_AI script with your discord bot TOKEN and edit which roles and persons you want to be able to command the bot.
- In the code you can specify which roles and users can use the bot commands
- COMMAND_ROLES requires a lower case name of the role in your guild
- COMMAND_USERS requires your User ID. Right click a user's name to get their ID in discord.
- Leaving both empty allows anyone to command the bot.
- REPLY_CHANNELS decides which channel ID in your guild the bot can reply to user in. Keep empty to allow all channels. Right channels in your discord to get the ID.
!join
to have the bot join a VC you are currently in!leave
to have the bot leave your VC!quit
to close the program
- Just @ or reply to your bot to get a response
- Enter a discord voice channel within a guild the bot has access to.
- type
!join
in a guild text channel. - The bot will join and listen to what you say!
- The bot will respond after taking a few seconds to process what you said when you stop talking
- Provide better logic to handle if user is no longer speaking, espicially in a large group.
- A lot more
- Whisper will return a bunch of hallucinations that come from youtube commentary that can be filtered. For example: "THANK YOU", "Make sure to like, comment, and subcribe", "you", etc.
- Possibility for a speaker to be cut off early when a large group is talking due to whisper processing taking too long