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Web App Development Made Simple with Streamlit

Web App Development Made Simple with Streamlit

By : Moscato
4.3 (10)
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Web App Development Made Simple with Streamlit

Web App Development Made Simple with Streamlit

4.3 (10)
By: 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)
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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

Creating customized web apps to improve user experience

Now, it’s time to complete our Covid-19 Detection Tool web application. So far, we have implemented several features, such as Image Enhancement and Disclaimer and Info, but we are still missing the Diagnosis section. Figure 10.1 shows what we have completed so far:

Figure 10.1: The Covid-19 Detection Tool web app we’ve developed so far

Figure 10.1: The Covid-19 Detection Tool web app we’ve developed so far

As I mentioned in Chapter 9, the task of Diagnosis is to understand from a picture, specifically from an X-ray of the chest, whether or not a patient has Covid-19.

This kind of prediction can be performed using a pretrained AI model, which in our case is a convolutional neural network (CNN). A CNN is a neural network with a peculiar structure or shape that performs very well regarding tasks related to computer vision. Computer vision, in a few words, means to make computers understand what’s going on with a picture, its content, the objects represented...

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Web App Development Made Simple with Streamlit
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