A Python-based Telegram bot that integrates ChatGPT, offering fast responses, no daily limits, and customizable chat modes.
ChatGPT Telegram Bot is a Python-based Telegram bot that integrates OpenAI's ChatGPT API, providing a fast, unlimited alternative to the official ChatGPT web interface. It allows users to interact with GPT models directly within Telegram, featuring low latency, message streaming, and support for GPT-4, vision, and voice recognition. The bot solves issues like daily limits and lag associated with chat.openai.com.
Telegram users and developers seeking a reliable, self-hostable AI chatbot with advanced features like custom chat modes, group support, and no usage restrictions. It's ideal for those who prefer Telegram's interface and want more control over their AI interactions.
Developers choose this bot for its speed, lack of daily limits, and extensive customization options, including editable chat modes and support for the latest OpenAI models. Its self-hostable nature and Docker-based deployment offer full control and privacy, unlike many cloud-based alternatives.
💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API.
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Responses typically arrive in 3-5 seconds, directly addressing the lag issues of the official ChatGPT web interface as highlighted in the README.
Avoids daily request limits imposed by other services, allowing unlimited interactions through the Telegram bot, which is a core value proposition.
Includes 15 predefined modes like Assistant and Code Assistant, with easy creation of new modes via a YAML config file, enhancing flexibility for personalized AI interactions.
Works with GPT-4, GPT-4 Turbo, and GPT-4 Vision, ensuring compatibility with OpenAI's latest models and features like image analysis.
Processes voice messages using OpenAI's Whisper API and integrates DALL·E 2 for image generation, adding multimedia capabilities beyond text chat.
Requires Docker, manual configuration of tokens in YAML/ENV files, and technical know-how, which can be a barrier for non-developers or those seeking quick deployment.
Relies on OpenAI API keys that incur charges, leading to unpredictable expenses; the balance tracking feature acknowledges this dependency but doesn't mitigate the cost.
Limited to Telegram, so it cannot be used on other messaging platforms or as a standalone web service without significant modification.
As a self-hosted project, users must manage updates, server resources, and security, adding operational overhead compared to managed cloud services.