bytebone/voicy

@voicybot Telegram bot main repository

Introduction

This is my personal attempt to make the now near-dead Voicy bot work on todays tech, fixing issues here and there and making everything work nicely on Docker.

@voicybot main repository

This repository contains the code for one of the most popular bots I've ever built for Telegram — @voicybot. It automatically converts all the audio messages to text when added to a group chat. Please, feel free to fork, add features and create pull requests so that everybody (over 12 000 000 people) can experience the features you've built.

You can also help by translating the bot to other languages or fixing some texts in existing languages by modifying the locales folder or at localize.borodutch.com.

List of repositories

• voicy — the main @voicybot code
• voicy-payments — payments service that used stripe to process payments for the Google Speech seconds of recognition; currently retired as the stats server for voicybot.com
• voicy-landing — borodutch.com landing page
• voicy-recognition — Recognition service for voicybot.com

Installation and Docker deployment

1. Clone this repo: git clone https://github.com/bytebone/voicy
2. Edit the .env.sample file with your wit.ai tokens, telegram token and salt, and save it as .env
3. Run docker build --network=host -t bytebone:voicy
4. Run docker compose up

Environment variables in .env file

Variable	Description
MONGO	URI for the mongo database used
TOKEN	Telegram bot token
SALT	Random salt to generate various encrypted stuff
ADMIN_ID	Chat id of the person who shall receive valuable logs
WIT_LANGUAGES	A map of language names to Wit.ai tokens
ENVIRONMENT	App environment, can be development, defaults to production

See examples in .env.sample file.

License

MIT — use for any purpose. Would be great if you could leave a note about the original developers. Thanks!