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The frontend for an AI that tries to unravel the digital riddles that blur the line between what’s real and what’s artificial.

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wangamulaudzi/fake-detector-frontend

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Fake Detector Frontend

This is the frontend service for the Fake Detector application, built with Streamlit.

The app itself can be found here.

The backend repo can be found here.

Local Setup

  1. Clone the repository: git clone <repository-url> cd fake-news-frontend

  2. Set up a virtual environment: pyenv virtualenv 3.10.6 <environment-name> pyenv local <environment-name>

  3. Install dependencies: pip install -r requirements.txt

  4. Set up Streamlit secrets: Create a .streamlit/secrets.toml file and add necessary secrets.

  5. Run the Streamlit app: streamlit run fake-detector.py

The app should now be running on http://localhost:8501.

Configuration

  • Update the backend_url in fake-detector.py to point to your deployed backend service.

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The frontend for an AI that tries to unravel the digital riddles that blur the line between what’s real and what’s artificial.

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