/EssayGrader

Uni. Zagreb FER Project assignmet of an automated essay grader based on Temporal Convolutional Networks

Primary LanguageJavaScript

README

Set-up

In models directory download and unpack pretrained Word2Vec model with:

wget https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz
gunzip GoogleNews-vectors-negative300.bin

The word2vec model should be unziped in models dir as GoogleNews-vectors-negative300.bin

Running

Run the backend (might take some time to load w2v model and keras model), and keep it running with:

python3 ./backend/backend.py

Download dependency modules with npm from the frontend folder with:

npm install

Run the frontend with:

npm run serve

Now open the IP in your browser given by the last command