Generates curatorial statements for contemporary art expositions, using Markov chains and texts from galleries around the world. For more info, text sources and a more detailed explanation visit becomeacurator.com.
This is a streamlined backend written in Python using the Flask microframework, that connects to a MongoDB database that hosts the text. To install:
- Change the MongoDB connection in
app.py - Install dependencies described in
requirements.txtusingpip - Run the server
python app.py
Uses @jsvine's markov chains implementation.