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Web App Development Made Simple with Streamlit

You're reading from   Web App Development Made Simple with Streamlit A web developer's guide to effortless web app development, deployment, and scalability

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835086315
Length 350 pages
Edition 1st Edition
Languages
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Author (1):
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Rosario Moscato Rosario Moscato
Author Profile Icon Rosario Moscato
Rosario Moscato
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Getting Started with Streamlit
2. Chapter 1: Getting to Know Streamlit – A Brief Overview FREE CHAPTER 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

Advanced Environment Setup and Package Management for Building an AI-Powered Web App

In Chapters 8 through 12, we will be building a new web app together: a tool that can detect the presence of COVID-19 from an image. To do so, we will leverage a pre-trained model (we are not delving into AI and model training but just using a pre-trained convolutional neural network) and in this way, we will learn how to integrate our AI models into our web applications by building up an entire set of services around them!

In very few words, a pre-trained model is an AI model that has been trained previously by someone else in order to make predictions – for example, classifications or regressions. To train the model, a dataset of cases related to the problem under scrutiny is typically needed. So, in the case of COVID-19 detection, a binary classification model (binary means only two possible solutions: COVID or no COVID) has been trained in the past and is now ready to be used in our web...

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