LLM-based conversational Telegram bot aiming to mimic human texting behaviour

• Faux typing indicator and delays between messages
• Conversational memory using summarisation models (using a technique similar to this)
• A separate bot to manage the bot's "context" (instructions on writing responses) from within Telegram (/set_context, /get_context)
• Manage conversation history using commands from within Telegram (/update_history, /clear_history)

• Python 3 (tested on 3.9)
• A separate Telegram user account from your own, i.e. a second phone number to register for one (or use a service like Textverified)
• A NLP Cloud account (they provide free initial credits)

1. Clone repo, install dependencies in requirements.txt
2. Rename template.env to .env
3. Create a Telegram user account and obtain its API ID and hash
4. Create a Telegram bot (message @BotFather) and obtain its bot token
5. Create a NLP Cloud account and get your API key
6. Get your personal Telegram account's user ID (not that of the bot you created earlier) (message @userinfobot)
7. Update .env with all above information
8. Run main.py