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OGlifespan-app

This repository contains the files and data necessary to execute single parameterization interpolation of the OG-USA model output.

Steps

  1. Download or clone this repository and its files and file structure to your local machine.
  2. Navigate in your browser to the folder of the https://github.com/rickecon/OGlifespan-app
  3. Create the oglife-app-dev conda environment using the environment.yml file in the repository: conda env create -f environment.yml.
  4. Activate the oglife-app-dev conda environment: conda activate oglife-app-dev
  5. Run the following code, which will generate the web app in a local server: python main.py
  6. Paste the URL address of the server listed in your terminal output into your terminal URL bar.
  7. This is the web application.

Files in the repository

  • .gitignore: Tells git which files to not track with GitHub.
  • app.yml: We don't use this for the local test use case above, but this file is valuable for posting an app like this on Google's App Engine.
  • environment.yml: Gives a list of the Python packages necessary for running the instructions in this code base. -interp_rbf_OGlifesense.pkl: Python pickled binary version of Scipy.interpolator estimated on the model data.
  • LICENSE: Open source license for the project.
  • main.py: This is the main Python file that defines and executes the page.
  • README.md: Instructions for this repository.
  • requirements.txt: We don't use this for the local test use case above, but this file is valuable for posting an app like this on Google's App Engine.
  • static/mystyle.css: CSS style file for the web application.
  • templates/index.html: HTML file that calls the flask app.