Fake News Predictor

This is a small web application for analysing news articles written in Romanian (mainly those about the COVID‑19 pandemic), in an attempt to detect fake news.

The application is written using Flask. Predictions are made by a Python model available on Hugging Face.

Disclaimer: The predictions made by the application do not constitute objective facts and do not reflect my opinion.

Running the application

Before you follow these steps, make sure you have Python 3 installed. Also, keep in mind that the model is quite large and might require around 2GB of storage space and RAM.

First, clone this repository to a directory and cd into it.

git clone https://github.com/pandrei7/fake-news-app.git
cd fake-news-app

Before running the application, you need to download some Python dependencies. You can do this using pip. Optionally, you might want to use a virtual environment to prevent problems with different library versions.

# (Optional) Create a virtual environment and activate it.
python3 -m venv venv
source venv/bin/activate       # If using bash.
source venv/bin/activate.fish  # If using fish.

# Install the dependencies.
pip install -r requirements.txt

Now you should be able to run the application. The model should get downloaded automatically the first time you run.

python3 main.py

Open your browser and access localhost:8080.

Contributing

This project welcomes contributions of many kinds. See the contributing guide to find out more.

License

This project is licensed under the terms of the MIT license.