Audio2TextBot

Audio2TextBot is a Telegram bot that facilitates audio and video file processing to convert them into text format using various pre-trained models.

Installation

To run the bot locally or on your server, follow these steps:

1. Clone the repository:

   git clone https://github.com/rn0x/Audio2TextBot.git
   cd Audio2TextBot

2. Install dependencies:

   Make sure you have Node.js (version 14 or higher) installed.

   npm install

3. Set up environment variables:

   Create a .env file in the root directory with the following variables:

   TELEGRAM_TOKEN=your_telegram_bot_token
   WHISPER_MODEL=your_whisper_model_path
   # WHISPER_LANGUAGE="auto"
   WHISPER_LANGUAGE=your_whisper_language
   

WHISPER_MODEL

| Model     | Disk   | RAM     |
|-----------|--------|---------|
| tiny      |  75 MB | ~390 MB |
| tiny.en   |  75 MB | ~390 MB |
| base      | 142 MB | ~500 MB |
| base.en   | 142 MB | ~500 MB |
| small     | 466 MB | ~1.0 GB |
| small.en  | 466 MB | ~1.0 GB |
| medium    | 1.5 GB | ~2.6 GB |
| medium.en | 1.5 GB | ~2.6 GB |
| large-v1  | 2.9 GB | ~4.7 GB |
| large     | 2.9 GB | ~4.7 GB |

4. Initialize the SQLite database:

   The bot uses better-sqlite3 for database operations. Ensure the database file database.db is created automatically when the bot starts.

5. Start the bot:

   Run the bot using nodemon for development or node for production:

   npm start

Usage

• Start the bot and send an audio or video file to convert it into text.
• Use the /users command to fetch all users who have interacted with the bot.

Bot Features

• Converts audio and video files to text.
• Logs user interactions in a SQLite database.
• Supports multiple media formats and languages for transcription.

Author

• Ryan Almalki

License

This project is licensed under the MIT License.