This is a dockerized Python project that uses the Discord.py library and the OpenAI speech-to-text Whisper 2 Model to return the transcription of any audio messages and voice notes that you send to it, or to any server where the bot is present to (and has permissions to read and send messages to).
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Docker
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We recommend you set up a log destination. We currently use Papertrail. If you don't add one, localhost:514 will be used.
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A Discord Bot Account with an associated static token and the Message Content Intent enabled. If you don't have a Discord bot account, follow this guide. If you don't know how to enable intents, follow this guide
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An OpenAI developer account and a related OpenAI project API key. If you don't have an OpenAI developer account, use this guide to get started. Once you're done with the "Account setup" instructions and have created a secret key, save the key value.
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Clone this repo
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Rename the
.env.templatefile to.envand fill in the blanks-
DISCORD_BOT_TOKENmust be your Discord Bot Account static token -
OPENAI_API_KEYhas to be your OpenAI API key. -
PAPERTRAIL_LOG_DESTINATIONneeds to be your Papertrail log destination URL. -
PAPERTRAIL_LOG_PORTmust be your Papertrail log destination port.
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Build the docker image and run it. If you don't have any particular requirements, you can paste in your terminal
source run.sh. It will build the Docker image, tag it, prune any dangling images, run the container in detached mode with networking enabled and removal on stop, and print the container logs to your terminal in real time. -
Done! You should now see the transcription of any audios or voice notes you send to the bot, or on any channel that the bot has access to.
This code is open sourced under the MIT license