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

Installing and importing packages

Now that we are inside the covid directory and our virtual environment has been created, it’s time to install all the packages we are going to use in our web application.

We need five different libraries:

  • Streamlit, our wonderful framework for web applications
  • numpy, a library for advanced numeric calculations
  • tensorflow, the package needed to manage neural networks
  • Pillow, a library for image management
  • opencv-python, the computer vision package

Let’s install everything by typing the following instructions one by one:

pipenv install streamlit numpy tensorflow Pillow opencv-python

This installation can take a little while. When it finishes, we should have something like this on our screen:

Figure 8.2: Package installation

Figure 8.2: Package installation

We can now launch our editor, Sublime Text. You’ll see that in the covid directory, there are now the two famous files, Pipfile and Pipfile...