Welcome to our innovative AI project, where we seamlessly integrate FastAPI and Telegram Bot (TgBot) within a dual-container environment! This setup is designed to leverage the power of GPUs, providing high-performance solutions for complex AI tasks. 🤖✨
- Dual Container Setup: Our architecture employs two containers, ensuring a modular and efficient environment. One container is dedicated to FastAPI, and the other to TgBot. 📦📦
- Local Network Integration: The containers communicate over a local network, enabling rapid data exchange and streamlined processing. 🌐⚡
- GPU Acceleration: Embrace the speed! Our project is tailored for GPU usage, offering blazing-fast computations for AI models. 🖥️🚀
- AI-Ready: From machine learning models to advanced analytics, our setup is primed for a variety of AI applications. 🧠🔍
Setting up is a breeze! Follow our step-by-step guide to have your AI-powered FastAPI and TgBot up and running in no time. 🛠️💨
Before diving in, make sure you have:
- Docker and Docker Compose installed.
- A GPU setup (if you plan to utilize GPU acceleration).
- Basic knowledge of FastAPI and Telegram Bots.
- Clone the repository.
- Navigate to the project directory.
- Run
docker-compose upto start the containers. - Enjoy the power of integrated AI! 🎉
- FastAPI Container: Access it at
http://localhost:8000. It's ready for your RESTful APIs and AI models. - TgBot Container: Interact with your Telegram Bot with AI capabilities right away.
We love collaborations! Feel free to fork, submit pull requests, or open issues for suggestions and bug reports. Your input helps us grow! 🌱💬
This project is released under [specify license], ensuring it's free and open-source. Dive in and explore! 📖🔓