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Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app

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Dark Pattern Detection using Fine Tuned BERT Model

A web app built using streamlit powered by CogniGuard project

Live url : https://huggingface.co/spaces/4darsh-Dev/dark_pattern_detector_app

Cogni-BERT Model Scores

Sweeps Training Hyperparametrs

BERT Fine-Tuned Sweep training

Best Model Report

Cogni-BERT Best Model report

Running Web App Locally

To run web app locally, follow these steps:

1.Clone the Repo:

git clone https://github.com/4darsh-Dev/dark_pattern_detector_app.git 
  1. Install Requirements:

      pip install requirements.txt
  2. Run the Streamlit App:

    streamlit run app.py
  3. Access Your App: After running the command, Streamlit will start a local web server and provide a URL where you can access your app. Typically, it will be something like http://localhost:8501. Open this URL in your web browser.

  4. Stop the Streamlit Server: To stop the Streamlit server, go back to the terminal or command prompt where it's running and press Ctrl + C to terminate the server.

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