Book Image

Web App Development Made Simple with Streamlit

By : Rosario Moscato
Book Image

Web App Development Made Simple with Streamlit

By: Rosario Moscato

Overview of this book

This book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you’ll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You’ll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you’ll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud.
Table of Contents (23 chapters)
Free Chapter
1
Part 1: Getting Started with Streamlit
5
Part 2: Building a Basic Web App for Essential Streamlit Skills
10
Part 3: Developing Advanced Skills with a Covid-19 Detection Tool
15
Part 4: Advanced Techniques for Secure and Customizable Web Applications

Adding the Disclaimer and Info section

Dealing with applications that provide predictions, especially health predictions, can be a little bit dangerous, so a good practice is to write down a disclaimer to avoid any kind of misunderstanding.

The disclaimer of this web application, named Disclaimer and Info, also serves the function of providing some information about the model used to predict COVID-19 from images and about the dataset that was used to train that model.

In short, the main purpose of the disclaimer is to clarify that the application is just a demo of Streamlit’s capabilities and doesn’t have any value from a medical point of view. Additionally, the disclaimer also contains some information about the AI model used to make the predictions.

In Chapter 10, we will see that every time we need to make predictions, a good strategy is to use a machine learning model.

In particular, the model used in our web application is a so-called convolutional neural...