-
Notifications
You must be signed in to change notification settings - Fork 0
noahcasey21/ev_charging_predictor
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
The package contains a docker container that runs the application via localhost using port 5000. The container does all necessary Python version and package installations. The application may also be viewed at https://gatech-2024-6242-85.azurewebsites.net/. The instructions to spin up the web app in Azure are below. Docker Build: 1. Install Docker (https://www.docker.com/products/docker-desktop/) and ensure the daemon is running (just opening the desktop application is sufficient). 2. In a terminal, run the following two lines: docker build -t ev_station_prediction . docker run -p 5000:5000 ev_station_prediction 3. Search for localhost in a web browser and interact with the app. Azure Webapp Build: Run the following lines: az webapp up --name gatech-2024-6242-85 --resource-group 6242 az webapp config appsettings set --name gatech-2024-6242-85 --resource-group 6242 --settings SCM_DO_BUILD_DURING_DEPLOYMENT=true
About
Interactive Flask/JavaScript application that predicts a good future location for an EV charging station.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published