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requirements.txt
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# API
aiohttp~=3.8.1
connexion[swagger-ui]~=2.7.0
aiohttp_jinja2~=1.5.0
jinja2~=3.1.1
openapi-spec-validator==0.4.0
# Metrics
statsd~=3.3.0
# NLP Packages
click~=7.1.2
spacy~=3.0.0 # required for scispacy 0.4.0
scispacy~=0.4.0
# Scispacy models
# A full spaCy pipeline for biomedical data with a ~100k vocabulary.
# https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_core_sci_sm-0.4.0.tar.gz
# A full spaCy pipeline for biomedical data with a ~360k vocabulary and 50k word vectors.
#https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_core_sci_md-0.4.0.tar.gz
# A full spaCy pipeline for biomedical data with a ~785k vocabulary and 600k word vectors.
# https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_core_sci_lg-0.4.0.tar.gz
# A spaCy NER model trained on the CRAFT corpus.
# https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_ner_craft_md-0.4.0.tar.gz
# A spaCy NER model trained on the JNLPBA corpus.
#https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_ner_jnlpba_md-0.4.0.tar.gz
# A spaCy NER model trained on the BC5CDR corpus.
https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_ner_bc5cdr_md-0.4.0.tar.gz
# A spaCy NER model trained on the BIONLP13CG corpus.
# https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.4.0/en_ner_bionlp13cg_md-0.4.0.tar.gz
pydantic==1.8.2
dataclasses-json<0.6.0,>=0.5.0
redis~=4.3.4
requests~=2.28.1
pytest
tabulate
alive_progress