requirements.txt

# Library dependencies for the python code.  You need to install these with
# `pip install -r requirements.txt` before you can run this.

#### ESSENTIAL LIBRARIES FOR MAIN FUNCTIONALITY ####

# In order to use allennlp you will also need to install pytorch. Currently, the version depends on
# your OS. Please visit http://pytorch.org/ and follow the instructions for installation.

# Parameter parsing.
pyhocon==0.3.35

# Type checking for python
typing

# Adds an @overrides decorator for better documentation and error checking when using subclasses.
overrides

# Used by some old code.  We moved away from it because it's too slow, but some old code still
# imports this.
nltk

# Mainly used for the faster tokenizer.
spacy>=2.0,<2.1

# Used by span prediction models.
numpy

# Used in coreference resolution evaluation metrics.
scipy
scikit-learn

# Training visualisation using tensorboard.
tensorboard==1.0.0a6

# Required by torch.utils.ffi
cffi==1.11.2

# aws commandline tools for running on Docker remotely.
awscli>=1.11.91

# REST interface for models
flask==0.12.3
flask-cors==3.0.3

# Talk to postgres demo database
psycopg2
psycopg2-binary

#### LIBRARIES USED IN SCRIPTS ####
# argument parsing in for data cleaning scripts
argparse

# Used for downloading datasets over HTTP
requests>=2.18

# progress bars in data cleaning scripts
tqdm

# In SQuAD eval script, we use this to see if we likely have some tokenization problem.
editdistance

# Tutorial notebooks
jupyter

# For pretrained model weights
h5py

# For timezone utilities
pytz==2017.3