MilesONerd AI Telegram Bot

An intelligent Telegram bot powered by advanced AI models and internet search capabilities. The bot uses Llama 3.1-Nemotron for text generation and BART for text summarization, with future plans for internet search integration.

Features

• Advanced language understanding using multiple AI models
• Text summarization for long messages
• Intelligent response generation
• Continuous learning capabilities (planned)
• Internet search integration (planned)

Requirements

• Python 3.8+
• pip (Python package manager)
• A Telegram Bot Token (get it from @BotFather)

Installation

1. Clone the repository:

git clone /~https://github.com/MilesONerd/telegram-bot.git
cd telegram-bot

2. Install dependencies:

pip install -r requirements.txt

3. Configure environment variables:

cp .env.example .env

Edit .env and set your Telegram Bot Token:

TELEGRAM_BOT_TOKEN=your_bot_token_here

Usage

1. Start the bot:

python bot.py

2. Open Telegram and search for your bot using the username you set with @BotFather

3. Start chatting with the bot using these commands:

• /start - Begin interaction with the bot
• /help - Show available commands
• /about - Learn more about the bot

Message Handling

The bot processes messages differently based on their content:

• Short questions (< 10 words): Quick responses using Llama 3.3
• Long messages (> 100 words): Summarization using BART + detailed response
• Messages containing 'summarize' or 'tldr': Text summarization
• Chat-related queries: Optimized conversation handling
• Regular messages: Comprehensive AI-powered responses

Environment Variables

• TELEGRAM_BOT_TOKEN: Your Telegram Bot API token (required)
• SERPAPI_API_KEY: Google Search API key (optional, for future use)
• DEFAULT_MODEL: Default AI model to use (default: llama)
• ENABLE_CONTINUOUS_LEARNING: Enable/disable learning capabilities (default: true)

Project Structure

telegram-bot/
├── bot.py              # Main bot implementation
├── ai_handler.py       # AI model handling and text generation
├── requirements.txt    # Python dependencies
├── .env.example        # Environment variables template
├── README.md          # Project documentation
└── LICENSE            # Project License

Development Status

• Basic bot implementation
• Llama 3.1-Nemotron integration
• BART integration
• Llama 3.3 integration
• Mistral Mathstral
• Mistral Mamba Codestral
• Mistral Pixtral
• Internet search integration
• Continuous learning implementation
• Advanced error handling
• Performance optimizations

License

This project is BSD 3-Clause License. All rights reserved to Enzo Fuke (MilesONerd).

Author

Created by MilesONerd