TypeError: AutomaticSpeechRecognitionPipeline._sanitize_parameters() got an unexpected keyword argument 'use_auth_token'
utility-aagrawal opened this issue · comments
Getting the following error while trying to run the sample ASR diarization code.
Created a fresh python virtual environment and installed speechbox, transformers and pyannote (as suggested in the readme document). Can you advise what's wrong? Thank you!
Here's the list of packages in the virtual environment for your reference -
$ pip freeze
absl-py==1.4.0
aiohttp==3.8.5
aiosignal==1.3.1
alembic==1.11.3
antlr4-python3-runtime==4.9.3
asteroid-filterbanks==0.4.0
async-timeout==4.0.3
attrs==23.1.0
audioread==3.0.0
backports.cached-property==1.0.2
cachetools==5.3.1
certifi==2023.7.22
cffi==1.15.1
charset-normalizer==3.2.0
click==8.1.7
cmaes==0.10.0
cmake==3.27.2
colorama==0.4.6
colorlog==6.7.0
contourpy==1.1.0
cycler==0.11.0
datasets==2.14.4
decorator==5.1.1
dill==0.3.7
docopt==0.6.2
einops==0.3.2
filelock==3.12.2
fonttools==4.42.1
frozenlist==1.4.0
fsspec==2023.6.0
google-auth==2.22.0
google-auth-oauthlib==1.0.0
greenlet==2.0.2
grpcio==1.57.0
hmmlearn==0.2.8
huggingface-hub==0.16.4
HyperPyYAML==1.2.1
idna==3.4
importlib-metadata==6.8.0
Jinja2==3.1.2
joblib==1.3.2
julius==0.2.7
kiwisolver==1.4.4
librosa==0.9.2
lit==16.0.6
llvmlite==0.40.1
Mako==1.2.4
Markdown==3.4.4
markdown-it-py==3.0.0
MarkupSafe==2.1.3
matplotlib==3.7.2
mdurl==0.1.2
mpmath==1.3.0
multidict==6.0.4
multiprocess==0.70.15
networkx==2.8.8
numba==0.57.1
numpy==1.24.4
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
nvidia-cufft-cu11==10.9.0.58
nvidia-curand-cu11==10.2.10.91
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusparse-cu11==11.7.4.91
nvidia-nccl-cu11==2.14.3
nvidia-nvtx-cu11==11.7.91
oauthlib==3.2.2
omegaconf==2.3.0
optuna==3.3.0
packaging==23.1
pandas==2.0.3
Pillow==10.0.0
pipdeptree==2.13.0
platformdirs==3.10.0
pooch==1.7.0
primePy==1.3
protobuf==3.20.1
pyannote.audio==2.1.1
pyannote.core==4.5
pyannote.database==4.1.3
pyannote.metrics==3.2.1
pyannote.pipeline==2.3
pyarrow==12.0.1
pyasn1==0.5.0
pyasn1-modules==0.3.0
pycparser==2.21
pyDeprecate==0.3.2
Pygments==2.16.1
pyparsing==3.0.9
python-dateutil==2.8.2
pytorch-lightning==1.6.5
pytorch-metric-learning==1.7.3
pytz==2023.3
PyYAML==6.0.1
regex==2023.8.8
requests==2.31.0
requests-oauthlib==1.3.1
resampy==0.4.2
rich==13.5.2
rsa==4.9
ruamel.yaml==0.17.28
ruamel.yaml.clib==0.2.7
safetensors==0.3.2
scikit-learn==1.3.0
scipy==1.11.2
semver==2.13.0
sentencepiece==0.1.99
shellingham==1.5.3
simplejson==3.19.1
singledispatchmethod==1.0
six==1.16.0
sortedcontainers==2.4.0
SoundFile==0.10.3.post1
speechbox==0.2.1
speechbrain==0.5.15
SQLAlchemy==2.0.20
sympy==1.12
tabulate==0.9.0
tensorboard==2.14.0
tensorboard-data-server==0.7.1
threadpoolctl==3.2.0
tokenizers==0.13.3
torch==1.13.1
torch-audiomentations==0.11.0
torch-pitch-shift==1.2.4
torchaudio==0.13.1
torchmetrics==0.11.4
tqdm==4.66.1
transformers==4.32.0
triton==2.0.0
typer==0.9.0
typing_extensions==4.7.1
tzdata==2023.3
urllib3==1.26.16
Werkzeug==2.3.7
xxhash==3.3.0
yarl==1.9.2
zipp==3.16.2
I was able to resolve it. I had the latest transformers release 4.32.0 and they must have changed the argument name from use_auth_token to token at some point (See here - https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.pipeline)
I had to make that change in the file diarize.py and it worked! Let me know what you think about this temporary resolution. Thanks!
Thanks @utility-aagrawal - would you like to open a PR to fix this on main?
Thanks for your response, @sanchit-gandhi! Sure, I can do that.
Added specific kwargs for ASR and diarization pipelines. Closing the issue. Let me know in case of any questions. Thanks!