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

Deep-diving into NLP techniques

Our web application already has a well-structured skeleton that can be applied to future applications, which is very important. Additionally, our app offers a high level of customization, such as the ability to set a title and icon in the browser. We have also completed the Text Analysis and About sections of the menu. To see the current status of our developments, please refer to Figure 6.1.

Figure 6.1: Starting point of Chapter 6

Figure 6.1: Starting point of Chapter 6

When we click on Translation or Sentiment Analysis, we just get, in the main part of our web app, a subheading reminding us of the section we are in, and nothing else. So, it’s now time to code these two functions.

Before delving into the code, let’s try to understand exactly what translation and sentiment analysis are.

What is translation?

Translation in NLP is the task of automatically converting text or speech from one language to another. It helps break down language...