Streamlit is an open-source Python library designed to convert data scripts into shareable web applications. It enables data scientists, engineers, and machine learning practitioners to quickly create custom applications for data exploration, visualization, and more all with just a few lines of code.
This repository offers a guide to learn the essentials of Streamlit, helping you build your first web application and introducing key features such as widgets and layouts.
Follow these steps to set up and run the application:
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Clone the Repository
git clone git@github.com:abdullahashfaq-ds/Get-Started-With-Streamlit.git cd Get-Started-With-Streamlit
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Create & Activate a Virtual Environment
python -m venv venv venv\Scripts\activate
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Install Dependencies
pip install -r requirements.txt
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Run the Streamlit Application
streamlit run <app-name.py>
This project is licensed under the MIT License. See the LICENSE file for more details.