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

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.

Authors

• @4darsh-Dev(Adarsh Maurya)