Je kunt niet meer dan 25 onderwerpen selecteren Onderwerpen moeten beginnen met een letter of nummer, kunnen streepjes bevatten ('-') en kunnen maximaal 35 tekens lang zijn.
 
 
 
zeroth bc001a9da6 test favicon 4 jaren geleden
__pycache__ contextualise fixes and css nicer 5 jaren geleden
pandoc pdfstuff 4 jaren geleden
scores final css 5 jaren geleden
static test favicon 4 jaren geleden
templates test favicon 4 jaren geleden
.gitignore Secret key generation on the device instead of storing it in git 4 jaren geleden
README.md mobile navigation bar improvements + update to requirements.txt 4 jaren geleden
config.py starting point 5 jaren geleden
contextualise.py last score cover edit 4 jaren geleden
contextualise_python2.py app adapted to python2 5 jaren geleden
generate_links.py changes to fix bugs in generate_links 5 jaren geleden
requirements.txt mobile navigation bar improvements + update to requirements.txt 4 jaren geleden
textedit.py changes to fix bugs in generate_links 5 jaren geleden
wordlist.json cleaning up the git repo 4 jaren geleden

README.md

Pushing Scores

The Pushing Scores archival publication

The website was made using Flask, NLTK, Numpy, Pillow, pypandoc, PyPDF2, weasyprint and Python3 and is live at http://pushingscores.deplayer.nl/

How to use the scripts

All of the words on the website have been turned into links. This only needs to be done once, in advance of launching the application. In order to regenerate the links, you must run these two commands in the following order:

python3 textedit.py
python3 generate_links.py

The first script gathers all the files ending in .html, puts them in one single document, and creates wordlist.json, a dictionary that saves the sentences in which every single word appears. The second script goes over the same original files and replaces every word with an appropriate html tag.

Once these two steps have been made, the application can be run using the following command: FLASK_APP=contextualise.py flask run

The generated scores can be found in scores/

The project was developed by Cristina Cochior and Julie Boschat Thorez, as part of Varia.