Personal Data Detection API

This repository contains an API for detecting personal data in images using deep learning. It also includes a web interface for visualization and utilizing the API functionality.

Repository Structure

The repository is organized as follows:

• app.py: Main file containing the API for personal data detection in images.
• templates/: Folder containing the index.html file used for the web interface.
• requirements.txt: File specifying the dependencies required to run the application.
• Dockerfile: File for building the Docker image of the application.
• aks/: Folder containing configuration files for deploying the application to Azure Kubernetes Service (AKS).
  • deployment.yaml: Configuration file for deploying the service in AKS.
  • service.yaml: Configuration file for exposing the service in AKS.

Usage Instructions

1. Clone this repository to your local machine:

   git clone https://github.com/your-user/repository-name.git
   cd repository-name

   Remember to replace "your-user" and "repository-name" with your actual GitHub username and repository name. You can also customize the instructions and descriptions as needed.

2. Install the dependencies using pip:

   pip install -r requirements.txt

3. Run the API and web interface:

   python app.py

   This will start the API at http://localhost:5000, and you can access the web interface in your browser.

4. (Optional) If you want to run the application in a Docker container:

   docker build -t anonymization .
   docker run -p 5000:5000 anonymization

5. (Optional) AKS Deployment:

   • Ensure you have an AKS instance set up and the docker image is in your ACR.
   • Apply the configuration in the aks/ folder using kubectl:

     kubectl apply -f aks/deployment.yaml
     kubectl apply -f aks/service.yaml

Contributions

Contributions are welcome. If you find any bugs or have suggestions for improvement, feel free to open an issue or submit a pull request.