Building a Gemini-Powered Inference API with FastAPI and Cloud Run

This project showcases an exciting approach to integrate a Large Language Model (LLM) like Gemini into a web application backend using FastAPI. The use of Cloud Run for deployment provides a scalable and efficient environment for hosting the Inference API. This is a great example of how to leverage modern tools for building powerful AI-driven applications.

• •The project utilizes FastAPI for building the API, known for its speed and asynchronous capabilities.
• •It leverages Google Cloud Platform (GCP) and Cloud Run for deployment and scalability.
• •The architecture focuses on integrating a Gemini Large Language Model (LLM) for Inference tasks.