I am trying to create a application which checks for sentence similarity. Exe file got created. Getting the below error message while executing .exe file after giving required inputs.
code
model = pickle.load(open(r"miniLM.sav", "rb"))
sentences_embeddings = model.encode(desc_corpus)
c_matrix = cosine_similarity(sentences_embeddings, sentences_embeddings)
Error
cannot import name 'GenerationMixin' from 'transformers.generation' (C:\Users\UserName\AppData\Local\Temp\_MEI198962\transformers\generation\__init__.pyc)
I have the latest version of transformers - 4.26.1
requirements.txt
absl-py==1.4.0
altgraph==0.17.3
astunparse==1.6.3
cachetools==5.3.0
certifi==2022.12.7
charset-normalizer==3.0.1
click==8.1.3
colorama==0.4.6
et-xmlfile==1.1.0
filelock==3.9.0
flatbuffers==23.1.21
gast==0.4.0
google-auth==2.16.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.51.1
h5py==3.8.0
huggingface-hub==0.12.0
idna==3.4
importlib-metadata==6.0.0
joblib==1.2.0
keras==2.11.0
libclang==15.0.6.1
Markdown==3.4.1
MarkupSafe==2.1.2
nltk==3.8.1
numpy==1.24.2
oauthlib==3.2.2
openpyxl==3.1.0
opt-einsum==3.3.0
packaging==23.0
pandas==1.5.3
pefile==2023.2.7
Pillow==9.4.0
protobuf==3.19.6
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyinstaller==5.7.0
pyinstaller-hooks-contrib==2022.15
PyQt5==5.15.9
PyQt5-Qt5==5.15.2
PyQt5-sip==12.11.1
python-dateutil==2.8.2
python-version==0.0.2
pytz==2022.7.1
pywin32-ctypes==0.2.0
PyYAML==6.0
regex==2022.10.31
requests==2.28.2
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn==1.2.1
scipy==1.10.0
sentence-transformers==2.2.2
sentencepiece==0.1.97
six==1.16.0
tensorboard==2.11.2
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.11.0
tensorflow-estimator==2.11.0
tensorflow-intel==2.11.0
tensorflow-io-gcs-filesystem==0.30.0
termcolor==2.2.0
threadpoolctl==3.1.0
tokenizers==0.13.2
torch==1.13.1
torchvision==0.14.1
tqdm==4.64.1
transformers==4.26.1
typing_extensions==4.4.0
urllib3==1.26.14
Werkzeug==2.2.2
wrapt==1.14.1
zipp==3.13.0
spec file
# -*- mode: python ; coding: utf-8 -*-
from PyInstaller.utils.hooks import copy_metadata
datas = [('Config\\\\favicon.ico', '.'), ('Config\\\\miniLM.sav', '.')]
datas += copy_metadata('tqdm')
datas += copy_metadata('regex')
datas += copy_metadata('requests')
datas += copy_metadata('packaging')
datas += copy_metadata('filelock')
datas += copy_metadata('numpy')
datas += copy_metadata('tokenizers')
datas += copy_metadata('importlib_metadata')
datas += copy_metadata('tensorflow')
block_cipher = None
a = Analysis(
['render_ui.py'],
pathex=[],
binaries=[],
datas=datas,
hiddenimports=['sklearn.metrics._pairwise_distances_reduction._datasets_pair', 'sklearn.metrics._pairwise_distances_reduction._middle_term_computer', 'sklearn.metrics._pairwise_distances_reduction._argkmin', 'sklearn.metrics._pairwise_distances_reduction._base', 'sklearn.metrics._pairwise_distances_reduction._radius_neighbors', 'sentence_transformers.SentenceTransformer', 'tensorflow'],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False,
)
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
exe = EXE(
pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='App',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=True,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
icon='Config\\favicon.ico'
)
Downgraded transformers to - 4.25.1 Issue still persists. I am not sure what is causing this problem. Can someone please help me out on this?
Below code changes were made
model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
sentences_embeddings = model.encode(desc_corpus)
c_matrix = cosine_similarity(sentences_embeddings, sentences_embeddings)
spec file
# -*- mode: python ; coding: utf-8 -*-
from PyInstaller.utils.hooks import copy_metadata
datas = [('Config\\\\favicon.ico', '.'), ('Config\\\\miniLM.sav', '.')]
datas += copy_metadata('tqdm')
datas += copy_metadata('regex')
datas += copy_metadata('requests')
datas += copy_metadata('packaging')
datas += copy_metadata('filelock')
datas += copy_metadata('numpy')
datas += copy_metadata('tokenizers')
datas += copy_metadata('importlib_metadata')
datas += copy_metadata('torch')
block_cipher = None
a = Analysis(
['render_ui.py'],
pathex=[],
binaries=[],
datas=datas,
hiddenimports=['sklearn.metrics._pairwise_distances_reduction._datasets_pair', 'sklearn.metrics._pairwise_distances_reduction._middle_term_computer', 'sklearn.metrics._pairwise_distances_reduction._argkmin', 'sklearn.metrics._pairwise_distances_reduction._base', 'sklearn.metrics._pairwise_distances_reduction._radius_neighbors', 'sentence_transformers.SentenceTransformer', 'transformers', 'torch'],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False,
)
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
exe = EXE(
pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='App',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=True,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
icon='Config\\favicon.ico'
)
Used below pip commands
pip install torch torchvision torchaudio
pip install -U sentence-transformers