Streamlit is a powerful web-based open-source platform that enables data scientists and developers to create and deploy machine learning and data science applications quickly and easily. With its intuitive interface and seamless integration with popular libraries like TensorFlow and PyTorch, Streamlit allows users to build interactive dashboards, visualizations, and user interfaces without requiring extensive coding experience. One of the key advantages of Streamlit is its ability to generate dynamic visuals and widgets that update automatically based on user input or changes to the underlying data, allowing developers to rapidly iterate and refine their applications. Additionally, Streamlit is hosted on the cloud, eliminating the need for users to install additional software or manage server infrastructure, making it easy for teams to collaborate and share their applications efficiently and cost-effectively. Overall, Streamlit is a flexible and scalable platform that offers an accessible way for developers, data scientists, and business users to leverage the power of AI and data-driven insights.
TLDR: AI for Built ML apps on a web platform. Copy and paste these prompts into Ask Huberman Lab.