The proliferation of fake news is a major challenge for modern democratic societies. Inaccurate information can affect people's health and well-being, especially during the difficult times of the COVID-19 pandemic. Furthermore, disinformation erodes public trust in democratic institutions by preventing citizens from making rational decisions based on verifiable facts.Here I have created this streamlit powered webapp which detects COVID19 related fake news.
Live web-app can be found here.
Run pip install -r requirements.txt to install the dependencies.
- Run the command: python train.py to train your spacy model.
- Run the command: streamlit run app.py to run the webapp. This will launch your webapp in a new tab :
- Ensure you have Docker Installed and Setup in your OS (Windows/Mac/Linux). For detailed Instructions, please refer this.
- Navigate to the folder where you have cloned this repository ( where the Dockerfile is present ).
- Build the Docker Image (don't forget the dot!! 😄 ):
docker build --tag fake_news_app .
- Run the docker:
docker run --publish 8000:8080 --detach --name fapp fake_news_app
This will launch the dockerized app. Navigate to localhost:8000 in your browser to have a look at your application. You can check the status of your all available running dockers by:
docker ps