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 Image Enhancement section using the Pillow library

Among the libraries we imported at the beginning, there is Pillow. It contains a module named ImageEnhance that can actually take care of all the features related to any kind of image enhancement for us. This means that we can use the Contrast and Brightness methods already included in Pillow’s ImageEnhance module because all the functions we need, and many others, have been already implemented for us.

Pillow, or Python Imaging Library, is a very powerful library and it can do more than the things we are showing in this book. For this reason, we suggest taking a look at its official page on PyPI (https://pypi.org/project/Pillow/) and reading all the documentation contained there.

Figure 9.7: The Pillow page on PyPI

Figure 9.7: The Pillow page on PyPI

Let’s start with Contrast.

Contrast

As shown in Figure 9.8, managing Contrast with Pillow’s methods is really very simple:

Figure 9.8: The Contrast feature
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