PLangRec

PLangRec is a character-level deep model to recognize the programming language of source code.

PLangRec is provided as a Python desktop application, web API and web application.

Python desktop application

Make sure you have Python installed. Then, install all the required packages:

pip install -r requirements.txt --upgrade

Make sure you have downloaded both the both common and the desktop folders, and they are both subdirectories of the same parent directory (the must be sibling directories).

Finally, run PLangRec as a Python application (the model will be downloaded from the Internet, so the first execution may take minutes):

cd desktop-app
python main.py

Web API

Make sure you have Python installed. Then, install all the required packages:

pip install -r requirements.txt --upgrade

Make sure you have downloaded both the both common and the web-api folders, and they are both subdirectories of the same parent directory (the must be sibling directories).

Finally, run PLangRec as a Web API (the model will be downloaded from the Internet, so the first execution may take minutes):

cd web-api
python main.py

Web application

For the web application, you need to deploy the Web API because the application consumes the API.

Steps:

1. Deploy the Web API in one server.
2. Download the web-app folder to your web server.
3. Modify the value of the WEB_SERVER variable in the index.html file, setting its value to the server where you have the web API (step 1).

The Web application will be ready, calling the Web API.

Models

PLangRec uses a deep model classifier to predict the programming language from the source code. It uses a bidirectional recurrent neural network (BRNN). We have also tried a multi-layer preceptron architecture, but the BRNN achieved better performance. The BRNN and MLP directories included in this repository include the training, validation and evaluation of both models.

License

MIT license.