LNshuti/pop-density-maps

PopDensity Africa: Explore Interactive Maps! # Population Density Maps This Gradio Python application transforms the Colab Notebook developed by Steven Kent into an interactive tool for exploring housing density by country. Users can enter a 3-letter country code from a provided list, and the application will generate a housing density map for the selected country. ## DEMO Click the example generated image for Uganda below to view the app demo. ## ## How to clone and run this app on your machine #### Step 1. Clone this repo ```python git clone github.com ``` #### Step 2: Create an isolated environment to manage dependencies ```python cd pop-density-maps conda env create --file=environment.yaml ``` #### Step 3: Install the required python packages ```python pip install -r requirements.txt ``` #### Step 5: Run Python Application ```python python run app.py ``` ## How to deploy the app with Docker #### Build the docker image ```python docker build -t pop-density . ``` #### Run the application ```python docker run --rm -p 8501:8501 --name pop-density-container pop-density ``` #### Navigate to the application by typing the following in a web browser ```python localhost ``` ## References 1. **Stephen Kent**. Egypt Buildings. A Google Colab Notebook for Querying S3 Data and build a Map using Python and SQL. github.com