numpy<1.20.0,>=1.19.0
gluonnlp==0.10.0
autogluon.core>=0.0.16b20210106
mantichora==0.9.5
pandas<2.0
pyLDAvis==2.1.2
pyOpenSSL==18.0.0
PySocks==1.6.8
sacremoses>=0.0.38
sentence-splitter==1.4
scikit-learn<0.23,>=0.22.0
numba<=0.52.0
umap-learn==0.4.6
tabulate>=0.8.7
mxnet-cu101<2.0.0,>=1.6.0
