There are no resumes present in the specified folder. Yet the defaults are there. about resume-matcher HOT 12 OPEN

python run_first.py 
Traceback (most recent call last):
  File "/unreal/gpu/Resume-Matcher/run_first.py", line 5, in <module>
    from scripts import JobDescriptionProcessor, ResumeProcessor
  File "/unreal/gpu/Resume-Matcher/scripts/__init__.py", line 2, in <module>
    from .JobDescriptionProcessor import JobDescriptionProcessor
  File "/unreal/gpu/Resume-Matcher/scripts/JobDescriptionProcessor.py", line 5, in <module>
    from .parsers import ParseJobDesc, ParseResume
  File "/unreal/gpu/Resume-Matcher/scripts/parsers/__init__.py", line 1, in <module>
    from .ParseJobDescToJson import ParseJobDesc
  File "/unreal/gpu/Resume-Matcher/scripts/parsers/ParseJobDescToJson.py", line 5, in <module>
    from scripts.Extractor import DataExtractor
  File "/unreal/gpu/Resume-Matcher/scripts/Extractor.py", line 6, in <module>
    from .utils import TextCleaner
  File "/unreal/gpu/Resume-Matcher/scripts/utils/__init__.py", line 3, in <module>
    from .Utils import TextCleaner
  File "/unreal/gpu/Resume-Matcher/scripts/utils/Utils.py", line 7, in <module>
    nlp = spacy.load("en_core_web_md")
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/nix/store/8msv6rh44z033csqkg2r3fa2j21m92px-python3-3.11.9-env/lib/python3.11/site-packages/spacy/__init__.py", line 51, in load
    return util.load_model(
           ^^^^^^^^^^^^^^^^
  File "/nix/store/8msv6rh44z033csqkg2r3fa2j21m92px-python3-3.11.9-env/lib/python3.11/site-packages/spacy/util.py", line 472, in load_model
    raise IOError(Errors.E050.format(name=name))
OSError: [E050] Can't find model 'en_core_web_md'. It doesn't seem to be a Python package or a valid path to a data directory.

find . -iname 'en_core*'

bash➜ python
Python 3.11.9 (main, Apr  2 2024, 08:25:04) [GCC 13.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import spacy
>>> nlp = spacy.load("en_core_web_sm")
>>> import en_core_web_sm
>>> doc = nlp("This is a sentence.")
>>> print([(w.text, w.pos_) for w in doc])
[('This', 'PRON'), ('is', 'AUX'), ('a', 'DET'), ('sentence', 'NOUN'), ('.', 'PUNCT')]