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Streamlit is an open-source Python library used for building interactive data science and machine learning web applications. It allows developers to create web-based applications that can display visualizations, charts, tables, and other data-driven elements in real-time. Streamlit provides a simple and intuitive interface that can be used to create data exploration dashboards, prototype machine learning models, and share data insights with others.

• Software Developers
• Data Engineers
• Data Scientists
• Data Analyst
• Organization based with data analytics and visualization.

Streamlit offers a wide range of features that make it easy for data scientists and machine learning engineers to build interactive web applications quickly. Here are some of the key features of Streamlit:

1. Simple and intuitive interface: Streamlit has a user-friendly interface that makes it easy for developers to create web applications without requiring extensive coding knowledge.
2. Interactive widgets: Streamlit provides pre-built widgets for data visualization, input forms, and output displays, which can be easily incorporated into web applications.
3. Real-time updates: Streamlit allows developers to make real-time updates to their web applications as data changes, without requiring manual refreshes.
4. Integration with popular libraries: Streamlit supports integration with popular machine learning libraries like TensorFlow, PyTorch, and Scikit-learn, allowing developers to easily incorporate machine learning models into their web applications.
5. Fast prototyping: Streamlit is designed for fast prototyping, allowing developers to quickly build and iterate on their ideas.
6. Deployment options: Streamlit provides multiple deployment options, including on-premise deployment and cloud-based deployment using services like Heroku, AWS, and Google Cloud.
7. Collaboration tools: Streamlit allows developers to share their web applications with others and collaborate on projects using GitHub and other version control systems.

• Minimum memory: 8 GB
• Minimum vCPU: 2 vCPUs
• Operating System: Ubuntu 20.04
• Storage: 6GB
• Python: Currently Python 3.7, 3.8, 3.9, 3.10 and 3.11 are supported. Some plugins do not yet support Python 3.11.
• Pip: version latest 23.0.1

1. Embrace scripting With Streamlit's easy-to-use API, you can build a web application with just a few lines of code. As you save changes to the source file, the app updates automatically, allowing for a seamless iterative development process.
2. Weave in interaction In Streamlit, adding a widget is as simple as declaring a variable. There's no need to go through the complex process of writing a backend, defining routes, handling HTTP requests, connecting a frontend, or writing HTML, CSS, and JavaScript.
3. Deploy instantly Effortlessly share, manage and deploy your apps, directly from Streamlit. All for free!

For further accessing the web-interface follow the steps:

1. SSH into VM(Virtual Machine)
2. Use this command: streamlit hello
3. navigate to the URL and access web-interface by http://ip-addr:8501