This is an experimental Telegram chat bot that uses a configurable LLM model to generate responses. With this bot, you can have engaging and realistic conversations with an artificial intelligence model.
First, you need to install the required packages using pip: pip install -r requirements.txt
You can copy and rename the provided env.example to .env and edit the file according your data
You can create a bot on Telegram and get its API token by following the official instructions.
You can use the GOOGLE_API_KEY, OPENAI_API_KEY or OPENAI_API_BASE_URL for selecting the required LLM provider.
The OPENAI_API_BASE_URL will look for an OpenAI API like, as the LM Studio API
Note: When GOOGLE_API_KEY option is selected the model used will be Gemini Pro and multimodal capabilities will be enabled for images.
TELEGRAM_BOT_NAME: Your Telegram bot name
TELEGRAM_BOT_USERNAME: Your Telegram bot name
TELEGRAM_BOT_TOKEN: Your Telegram bot token
OPENAI_API_MODEL: LLM to use for OpenAI or OpenAI-like API, if not provided the default model will be used.
WEBUI_SD_API_URL: you can define a Stable Diffusion Web UI API URL for image generation. If this option is enabled the bot will answer image generation requests using Stable Diffusion generated images.
WEBUI_SD_API_PARAMS: A JSON string containing Stable Diffusion Web UI API params. If not provided default params for SDXL Turbo model will me used.
TELEGRAM_BOT_INSTRUCTIONS: You can define custom LLM system instructions using this variable.
TELEGRAM_ALLOWED_CHATS: You can use a comma separated allowed chat IDs for limiting bot interaction to those chats.
You can run the bot using the following command:
python main.py
If you'd like to contribute to this project, feel free to submit a pull request. We're always open to new ideas or improvements to the code.
This project is licensed under the MIT License - see the LICENSE file for details.