langauge 0.0.3

LanGauge: 'gauge' the usefulness of open-source medical datasets

LanGauge

LanGauage: NLP experiment platform. To be open-sourced publicly (Apache 2.0 or similar).

Architecture

What is it?

Natural Language Processing (NLP) is one of the most important fields of research in today’s world. It has many applications such as chatbots, sentiment analysis, and document classification.

LanGauge is a web application leveraging Natural Language Processing (NLP) to reduce the time spent analyzing medical research papers in an easy-to-use fashion. This free, open-source platform helps researchers in fields such as drug discovery curate their data to secure and scale the development of health solution. An example application would be enhancing COVID-19 research using multiple NLP models on medical datasets.

We want to use the language processing models to “gauge” the usefulness of open-source medical datasets for the researchers.

How to run the project using pip ?

1. Create (or navigate to) a folder you would like to use with LanGauge and create a virtual environment

   On Linux use

   python3 -m venv env
   

   and activate it using

   source env/bin/activate
   

2. Install using

   pip install langauge
   

3. Now, Run the following command line instruction for starting the front end

   langauge ui [OPTIONS]
   
   Options:
   -h, --host TEXT          The network address to listen on (default:
                            127.0.0.1). Use 0.0.0.0 to bind to all addresses if
                            you want to access the tracking server from other
                            machines.
   
   -p, --port INTEGER       The UI port to configure on (default:8080)
   
   -b --backend TEXT        The backend address & port to listen on
                            requests (default: 127.0.0.1:5000).
   
   --help                   Show this message and exit.
   

   and for the backend use

   langauge backend [OPTIONS]
   
   Options:
   -bp, --backendport INTEGER  The backend port to configure on (default:5000)
   

or using docker-compose?

1. Clone the repository.

git clone https://github.com/flapmx/LanGauge-INTERNAL.git

2. Ensure you have docker and docker-compose installed.

3. Move to langauge directory

cd langauge

4. Build and Launch the project

docker-compose up --build -d

How to access the application?

1. http://localhost:8080 for the React front end
2. http://localhost:5000 for the Flask back end
3. http://localhost:5555 for the monitoring Celery

How to shut down?

 docker-compose down