Fullstack Python - simple Streamlit app to consume a FastAPI API
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📝 Description
Tutorial demonstrating the construction of a fullstack Python application utilizing FastAPI for the backend API and Streamlit for the frontend interface. The focus is on creating a multi-page Streamlit application capable of interacting with a service previously established using FastAPI, which manages a book dataset. The process involves initializing the development environment, configuring the FastAPI backend, and subsequently designing the frontend structure in Streamlit.
The Streamlit application is constructed with multiple pages, including a home page, a book finder interface, and a dashboard. Implementation details cover integrating a JSON data source, implementing interactive UI elements such as dropdown menus and sliders, and executing API calls to fetch and filter the book data from the FastAPI service. The objective is to provide viewers with practical knowledge regarding the integration of a Streamlit frontend with a FastAPI backend.
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