Streamlit is a web application framework designed to simplify the development process for data scientists, enabling them to create complex, data-rich apps without expertise in web development. It offers an intuitive, flexible interface and built-in widgets, visualizations, and APIs. With Streamlit, developers can easily convert their Python scripts into interactive and shareable web applications in real-time. The tool offers a cloud-based platform, which makes it easy to host applications without the need for setting up a server and has collaboration features that allow multiple users to work on the same app simultaneously. Streamlit is well-suited for data exploration, prototyping, and building proof-of-concepts for machine learning models and can be easily integrated with popular data science and AI libraries in Python. In summary, Streamlit is a user-friendly, open-source web application framework that simplifies the process of creating and deploying data science and machine learning apps, ideal for data scientists looking to create and share interactive, real-time applications, without the need for web
TLDR: AI for Created interactive data apps for sharing. Copy and paste these prompts into GPT Lab.