This lab helps us understand how Streamlit ( an open-source Python library) can be used to build and create custom web applications for machine learning and data science.
Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web applications for machine learning and data science.
Advantages:
● Free and Open-Source
● Less coding and easy to build beautiful web application in less time
● It embraces Python scripting language
● Data caching simplifies and speeds up computation pipelines
● No callbacks are needed
● Works with TensorFlow, Keras, PyTorch, Pandas, Numpy, Matplotlib, Seaborn, Altair, Plotly, Bokeh, Vega-Lite, and more
Experimental Setup
Prerequisites:
pip install streamlit
Test Cases
● Start the app by running streamlit run demo.py
● Streamlit run app.py
Lessons Learned
To build beautiful web applications using an open-source python package
Used to build custom web applications using data and machine learning models
Can be done without having any prior knowledge of web development
