brberis / djtensor

Feature classification model using TensorFlow, encapsulated within a Django/React/NextJS web application, all containerized using Docker for streamlined deployment.

djtensor

Project Installation Instructions

Prerequisites

Install Docker

For Mac:

• Download Docker Desktop for Mac from Docker Hub.
• Follow the installer's instructions to complete the installation.

Setup

1. Clone the Repository

Clone the project repository to your local machine using: git clone https://github.com/brberis/djtensor.git

2. Environment Configuration

Copy the .env.dev.example file to create a .env.dev file and update the environment variables as needed:

3. Build the Containers

Navigate to the project directory where the docker-compose.yml file is located and run the following command to build the Docker containers:

docker-compose build

4. Start the Services

Start the services defined in the Docker Compose configuration file with:

docker-compose up

Alternatively, you can run them in detached mode using:

docker-compose up -d

5. Access the Application

Once the containers are up and running, you can access the frontend application by navigating to http://localhost:3000 in your browser. The backend API will be available at http://localhost:8000. Username: testuser Password: testpassword.

Stopping the Services

To stop all services, you can run:

docker-compose down

Contributors

• Dêvi Hall - GitHub
• Cristobal Barberis - GitHub