Issues packaging spacy 3.0.6 and the en_core_web_sm.load()

[Jim McDonough]

My code works fine before packaging (nlp = en_core_web_sm.load()) but when I create the exe with pyinstaller I am getting the following error 

"catalogue.RegistryError: [E893] Could not find function 'spacy.Tok2Vec.v1' in function registry 'architectures'. If you're using a custom function, make sure the code is available. If the function is provided by a third-party package, e.g. spacy-transformers, make sure the package is installed in your environment."

I am not packaging it correctly.  My hook file is super nasty now and probably includes stuff not needed.  I was throwing anything at it from other solutions online:

import PyInstaller

datas = []

datas.extend(PyInstaller.utils.hooks.collect_data_files('spacy',include_py_files = True))

datas.extend(PyInstaller.utils.hooks.collect_data_files('spacy.lang', include_py_files = True))

datas.extend(PyInstaller.utils.hooks.collect_data_files('en_core_web_sm'))

datas.extend(PyInstaller.utils.hooks.collect_data_files('thinc',include_py_files = True))

datas.extend(PyInstaller.utils.hooks.collect_data_files('catalogue',include_py_files = True))

datas.extend(PyInstaller.utils.hooks.collect_data_files('srsly',include_py_files = True))

datas.extend(PyInstaller.utils.hooks.collect_data_files('spacy_legacy',include_py_files = True))

hiddenimports = [

    'catalogue.__init__',

    'spacy.attrs',

    'spacy.kb',

    'spacy.lexeme',

    #'spacy.matcher._schemas',

    'spacy.morphology',

    'spacy.parts_of_speech',

    #'spacy.syntax._beam_utils',

    #'spacy.syntax._parser_model',

    #'spacy.syntax.arc_eager',

    #'spacy.syntax.ner',

    #'spacy.syntax.nn_parser',

    #'spacy.syntax.stateclass',

    #'spacy.syntax.transition_system',

    'spacy.tokens._retokenize',

    'spacy.tokens.morphanalysis',

    'spacy.tokens.underscore',

    'blis',

    'blis.py',

    'cymem',

    'cymem.cymem',

    'murmurhash',

    'preshed.maps',

    'srsly.msgpack.util',

    'thinc.extra.search',

    'thinc.api',

    'thinc.config',

    #'thinc.registry',

    #'thinc.linalg',

    #'thinc.neural._aligned_alloc',

    #'thinc.neural._custom_kernels',

    'murmurhash.mrmr',

    'spacy.training.gold_io',

    'spacy.training.align',

    'spacy.vocab',

    'spacy.strings',

    'spacy.symbols',

    'spacy.tokenizer',

    'spacy.vectors',

    'spacy.vocab',

    'spacy.matcher.dependencymatcher',

    'spacy.matcher.phrasematcher',

    'spacy.matcher.matcher',

    'spacy.ml.parser_model',

    'spacy.pipeline.morphologizer',

    'spacy.pipeline.pipe',

    'spacy.pipeline.transition_parser',

    'spacy.pipeline._parser_internals.stateclass',

    'spacy.pipeline._parser_internals.transition_system',

    'spacy.pipeline._parser_internals._beam_utils',

    'spacy.pipeline._parser_internals.arc_eager',

    'spacy.pipeline._parser_internals.ner',

    'spacy.pipeline._parser_internals.state',

    #'spacy.pipeline._parser_internals.nonproj',

    #'spacy.pipeline.senter',

    #'spacy.pipeline.sentencizer',

    #'spacy.syntax._state',

    #'spacy.syntax.nonproj',

    'spacy.tokens.span',

    'spacy.tokens.token',

    'spacy.lang.en',

    "spacy.tokens._dict_proxies",

    'spacy.lang.norm_exceptions',

    'spacy.lang.lex_attrs',

    'spacy.lang.char_classes',

    'spacy.lang.punctuation',

    'spacy.lang.tokenizer_exceptions',

    'spacy.util',

    'spacy.__init__',

    'spacy.language'

   ]