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Web App Development Made Simple with Streamlit

You're reading from  Web App Development Made Simple with Streamlit

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781835086315
Pages 350 pages
Edition 1st Edition
Languages
Author (1):
Rosario Moscato Rosario Moscato
Profile icon Rosario Moscato

Table of Contents (23) Chapters

Preface 1. Part 1: Getting Started with Streamlit
2. Chapter 1: Getting to Know Streamlit – A Brief Overview 3. Chapter 2: Setting Up the Python Coding Environment 4. Chapter 3: Exploring Streamlit’s Features and Functionality 5. Part 2: Building a Basic Web App for Essential Streamlit Skills
6. Chapter 4: Streamlit Essentials – Configuring the Environment, Managing Packages, and More 7. Chapter 5: Organizing and Displaying Content with Columns, Expanders, and NLP Techniques 8. Chapter 6: Implementing NLP Techniques for Text Analysis and Processing in Streamlit 9. Chapter 7: Sharing and Deploying Your Apps on the Cloud Using Streamlit Share 10. Part 3: Developing Advanced Skills with a Covid-19 Detection Tool
11. Chapter 8: Advanced Environment Setup and Package Management for Building an AI-Powered Web App 12. Chapter 9: Optimizing Streamlit Web App UX with Customization and UI Features 13. Chapter 10: Utilizing Pretrained Models to Create Specialized and Personalized Web Applications 14. Chapter 11: Deploying and Managing Complex Libraries on Streamlit Share 15. Part 4: Advanced Techniques for Secure and Customizable Web Applications
16. Chapter 12: Smart File Uploading – Advanced Techniques for Professional Web Applications 17. Chapter 13: Creating a Secure Login and Signup Process for Web Applications 18. Chapter 14: Customizing Pages, Personalizing Themes, and Implementing Multi-Pages 19. Chapter 15: Enhancing Web Apps with Forms, Session State, and Customizable Subdomains 20. Chapter 16: Takeaways and Conclusion 21. Index 22. Other Books You May Enjoy

App skeleton building

First of all, we need a main function – a function that contains all the business logic of our app and the frontend too. This is the power of Streamlit – building the frontend directly inside Python code. There’s no need for different programming languages, files, and so on; everything is in one place using the same language. Writing this function is very easy – we can add the code shown in Figure 4.9:

Figure 4.9: Importing the necessary libraries and the main function

Figure 4.9: Importing the necessary libraries and the main function

The first part of the code is quite self-explanatory – we are just importing all the libraries that were introduced a couple of pages before. Just note that when we import matplotlib (the library needed for plotting), we are specifying that we wish to use the Agg engine (without this instruction, matplotlib would use its default engine). With Streamlit’s initial versions, this Agg engine used to work better, but with the very...

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