CL-USER> (nlu:load :request "en.classify.fakenews")
#S(PY4CL2::PYTHON-OBJECT :TYPE "<class 'nlu.pipeline.NLUPipeline'>" :HANDLE 59)
CL-USER> (defvar *model* *)
*MODEL*
CL-USER> (py4cl2:pymethod *model* 'predict
                          (vector "I don't think using automated nlp is a good idea... it suffers from similar issues"))
#S(PY4CL2::PYTHON-OBJECT
   :TYPE "<class 'pandas.core.frame.DataFrame'>"
   :HANDLE 60)
CL-USER> (py4cl2:pymethod * 'to-dict)
#<HASH-TABLE :TEST EQUAL :COUNT 4 {10165CDCA3}>
CL-USER> (alexandria:hash-table-alist (gethash "fakenews" *))
((0 . "FAKE"))