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DPBH Backend

Installation

  1. Create a Python virtual environment. Create one using venv or virtualenv module. If not sure then follow these steps.
  2. Activate the virtual environment.
  3. Run pip install -r requirements.txt.
  4. Download pretrained Dark pattern detection model and place it in dp_detection directory. Make sure that it is named as model.
  5. Download pretrained Dark pattern classification model and place it in dp_classification directory. Make sure that it is named as model.
  6. Download the AI4Bharat models from the official site, and place them in a folder called models.
  7. Alternatively, you can skip the steps 3-6, and directly use the provided setup.sh script to install the dependencies and place the appropiate models at the correct locations.
  8. Run flask run.

Debugging code

To debug code and get console logs, run flask run --debug.