Fullstack Python - simple Streamlit app to consume a FastAPI API
In this tutorial, we continue from our previous video on creating a FastAPI application for managing a books dataset. We delve into building a frontend using Streamlit, a simple and efficient Python tool for creating web applications. The video covers initializing the virtual environment, setting up the backend with FastAPI, and designing the frontend with multiple pages including a home page, book finder, and dashboard. Additionally, we demonstrate integrating a JSON data source, creating interactive elements like dropdowns and sliders, and making API calls to display and filter book data. By the end of the video, viewers will have a basic understanding of creating a multi-page Streamlit application that consumes a FastAPI backend.
Github repo
https://github.com/AIgineerAB/machine...
Previous video on FastAPI
• Building a CRUD API Using FastAPI in Python
#streamlit #fastapi #fullstack
00:00 Introduction and Recap
01:20 Setting Up the Backend
03:56 Creating the Frontend Structure
05:43 Building the Home Page
10:42 Developing the Book Finder
19:15 Designing the Dashboard
26:21 Enhancing Navigation
29:29 Conclusion and Next Steps