https://github.com/4darsh-dev/dark_pattern_detector_app
Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app
https://github.com/4darsh-dev/dark_pattern_detector_app
ai bert bert-fine-tuning classification-model deep-learning nlp
Last synced: 10 months ago
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Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app
- Host: GitHub
- URL: https://github.com/4darsh-dev/dark_pattern_detector_app
- Owner: 4darsh-Dev
- Created: 2024-04-28T22:37:22.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-18T11:15:53.000Z (over 1 year ago)
- Last Synced: 2025-03-10T06:53:13.205Z (10 months ago)
- Topics: ai, bert, bert-fine-tuning, classification-model, deep-learning, nlp
- Language: Jupyter Notebook
- Homepage: https://huggingface.co/spaces/4darsh-Dev/dark_pattern_detector_app
- Size: 1.18 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# 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**:
```bash
git clone https://github.com/4darsh-Dev/dark_pattern_detector_app.git
```
1. **Install Requirements**:
```bash
pip install requirements.txt
```
2. **Run the Streamlit App**:
```bash
streamlit run app.py
```
4. **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.
5. **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)](https://github.com/4darsh-Dev)