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The bot is designed to run via Docker Compose, making it easy to deploy and manage in any environment.\n\n## Features\n\n- Code highlighting\n- Chat modes: 🛎 Assistant, 💻 Code Assistant, 📝 Text Improver , ⚫ Blank\n- List of allowed Telegram users\n- Message streaming\n\n## Bot commands\n\n- `/new` – Start new conversation\n- `/mode` – Select chat mode\n- `/retry` – Regenerate last bot answer\n- `/help` – Show help\n\n## Setup\n\n1. Get your Telegram bot token from [@BotFather](https://t.me/BotFather)\n\n2. Edit `config/config.example.yml` to set your telegram token and\n[Hugging Face api key](https://huggingface.co/settings/tokens)\n(write permissions necessary) and run 2 commands below\n(*if you're advanced user, you can also edit* `config/config.example.env`):\n\n```bash\nmv config/config.example.yml config/config.yml\nmv config/config.example.env config/config.env\n```\n\nAnd now **run**:\n\n ```bash\n docker-compose -f docker-compose.yml up --build\n ```\n\n## References\n\n1. [*Build ChatGPT from GPT-3*](https://learnprompting.org/docs/applied_prompting/build_chatgpt)\n2. [*Reverse Engineered ChatGPT API by OpenAI*](https://github.com/acheong08/ChatGPT)\n3. [*OpenAI Davinci API Telegram Bot*](https://github.com/karfly/chatgpt_telegram_bot)\n4. [*Kandinsky 2.2*](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder)\n5. [*OpenAI API Free Reverse Proxy*](https://github.com/PawanOsman/ChatGPT)\n6. [*GPT4FREE*](https://github.com/xtekky/gpt4free)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftmlnv%2Fchatgpt_telegram_bot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftmlnv%2Fchatgpt_telegram_bot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftmlnv%2Fchatgpt_telegram_bot/lists"}