# install homebrew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# install and upgrade portaudio, swig, git, python3
brew install --upgrade portaudio swig git python3
# set up the python3 virtual environment
virtualenv -p python3 env
# activate the virtual environment
source env/bin/activate
# install requirements
pip install -r requirements.txt
# in case of an error with pyaudio, may need to point to brew intall directly
# see https://stackoverflow.com/questions/33513522/when-installing-pyaudio-pip-cannot-find-portaudio-h-in-usr-local-include
# for more information
# pip install --global-option='build_ext' --global-option='-I/Users/korymath/homebrew/Cellar/portaudio/19.6.0/include' --global-option='-L/Users/korymath/homebrew/Cellar/portaudio/19.6.0/lib' pyaudio
# get the trained model and example files
wget https://storage.googleapis.com/api-project-941639660937.appspot.com/dairector_pretrained_examples.zip
# unpack the files
unzip dairector_pretrained_examples.zip

# first ensure that your environment is activated
source env/bin/activate
# example 1a, generate a new subgraph from the entire plotto conflict graph
python markovgenerator.py -t outputfile.json plottoconflicts.json
# example 1b, interactive story telling using the plot subgraph and tv tropes hints
python -W ignore storyteller.py outputfile.json tvtropes.json tvtropesmodel.bin plottomodel.bin

pip install pocketsphinx==0.1.15
pip install PyAudio==0.2.11

python topicvectors.py tvtropesmodel.bin tvtropes.json

@inproceedings{eger2018dairector,
  author = {{Eger}, M. and {Mathewson}, K.~W.},
  title = "{dAIrector: Automatic Story Beat Generation through Knowledge Synthesis}",
  booktitle = {AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE18), Joint Workshop on Intelligent Narrative Technologies and Intelligent Cinematography and Editing},
  publisher = {AAAI},
  year = 2018,
  address={Edmonton, Alberta, Canada},
  month = 10,
}