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'
]
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