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Streamlit is a web application framework crafted to facilitate the creation and deployment of data science and machine learning applications effortlessly. It streamlines the development workflow for data scientists, empowering them to construct intricate, data-driven applications without requiring web development skills. With Streamlit, developers can swiftly transform their Python scripts into interactive and shareable web applications in real-time. It provides an intuitive, adaptable interface, enabling developers to rapidly build and personalize applications. Additionally, it includes built-in widgets, visualizations, and APIs that data scientists can utilize to interact with their data efficiently. Streamlit features a cloud-based platform, simplifying the hosting of applications without the necessity of server setup. Its collaborative functionalities allow multiple users to co-develop the same application simultaneously, making it perfect for remote teams. The tool is exceptionally suited for data exploration, prototyping, and constructing proof-of-concepts for machine learning models and can be seamlessly integrated with popular data science and AI libraries in Python. In conclusion, Streamlit is a