Plagiarism Detector

Getting Started

To run this project, first you'll need to install some packages in your operating system to make sure PyTorch runs smoothly. To do that:

1. run make install-dependencies: this will install the system libraries necessary to run PyTorch.

Then, you need a virtual environment for python development. For that, you will need to install:

• pyenv: Simple Python Version Management.
• pyenv-virtualenv: A plugin that provides features to manage virtualenvs.

With those packages installed, you need to:

2. Run make environment: this will create a virtual environment with the name plagiarism and with python version 3.9.13. Done! You don't need to activate your environment, pyenv has automatically associated this project to your new plagiarism environment using a .python-version file.
3. Run make requirements to install all necessary packages.

Running code

The project takes place in the notebooks/plagiarism_detector.ipynb notebook. To run it, it is necessary to have at least 24 GB of RAM memory. So, if your machine does not satisfy this requirement, you can still run it by loading the precomputed artifacts that are inside the artifacts directory.

Loading precomputed artifacts is controlled by the variable LOAD_PRECOMPUTED, inside the notebook, which is set to True by default. To run the code from the ground up, just set LOAD_PRECOMPUTED=False.