启动报错ClusterBackend is not defined

[Error9ood]

启动报错ClusterBackend is not defined

[wanghuii1]

Ensure scikit-learn>=1.3.0. It can be upgraded by running "pip install -U scikit-learn".

[LauraGPT]

pip install funasr==1.0.25 sklearn

[leavenotrace]

(base) bobzheng@Bobs-MacBook-Pro FunClip % pip install funasr==1.0.25 sklearn
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Requirement already satisfied: funasr==1.0.25 in /opt/anaconda3/lib/python3.11/site-packages (1.0.25)
Collecting sklearn
Using cached https://mirrors.aliyun.com/pypi/packages/46/1c/395a83ee7b2d2ad7a05b453872053d41449564477c81dc356f720b16eac4/sklearn-0.0.post12.tar.gz (2.6 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [15 lines of output]
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.

  Here is how to fix this error in the main use cases:
  - use 'pip install scikit-learn' rather than 'pip install sklearn'
  - replace 'sklearn' by 'scikit-learn' in your pip requirements files
    (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
  - if the 'sklearn' package is used by one of your dependencies,
    it would be great if you take some time to track which package uses
    'sklearn' instead of 'scikit-learn' and report it to their issue tracker
  - as a last resort, set the environment variable
    SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
  
  More information is available at
  https://github.com/scikit-learn/sklearn-pypi-package
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

[leavenotrace]

pip install funasr==1.0.25 scikit-learn
...
Requirement already satisfied: sympy in /opt/anaconda3/lib/python3.11/site-packages (from torch->openai-whisper->funasr==1.0.25) (1.12)
Requirement already satisfied: networkx in /opt/anaconda3/lib/python3.11/site-packages (from torch->openai-whisper->funasr==1.0.25) (3.1)
Requirement already satisfied: jinja2 in /opt/anaconda3/lib/python3.11/site-packages (from torch->openai-whisper->funasr==1.0.25) (3.1.3)
Requirement already satisfied: fsspec in /opt/anaconda3/lib/python3.11/site-packages (from torch->openai-whisper->funasr==1.0.25) (2023.10.0)
Requirement already satisfied: regex>=2022.1.18 in /opt/anaconda3/lib/python3.11/site-packages (from tiktoken->openai-whisper->funasr==1.0.25) (2023.10.3)
Requirement already satisfied: MarkupSafe>=2.0 in /opt/anaconda3/lib/python3.11/site-packages (from jinja2->torch->openai-whisper->funasr==1.0.25) (2.1.3)
Requirement already satisfied: mpmath>=0.19 in /opt/anaconda3/lib/python3.11/site-packages (from sympy->torch->openai-whisper->funasr==1.0.25) (1.3.0)
(base) bobzheng@Bobs-MacBook-Pro FunClip % python3 funclip/launch.py
2024-05-08 08:32:10,092 - modelscope - INFO - PyTorch version 2.3.0 Found.
2024-05-08 08:32:10,092 - modelscope - INFO - Loading ast index from /Users/bobzheng/.cache/modelscope/ast_indexer
2024-05-08 08:32:10,114 - modelscope - INFO - Loading done! Current index file version is 1.14.0, with md5 b84e6dd4bc67ed4bbc318196f1d5760c and a total number of 976 components indexed
2024-05-08 08:32:10,643 - modelscope - INFO - Use user-specified model revision: v2.0.4
ckpt: /Users/bobzheng/.cache/modelscope/hub/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pt
2024-05-08 08:32:12,885 - modelscope - INFO - Use user-specified model revision: v2.0.4
ckpt: /Users/bobzheng/.cache/modelscope/hub/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/model.pt
2024-05-08 08:32:13,408 - modelscope - INFO - Use user-specified model revision: v2.0.4
ckpt: /Users/bobzheng/.cache/modelscope/hub/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/model.pt
2024-05-08 08:32:14,843 - modelscope - INFO - Use user-specified model revision: v2.0.2
ckpt: /Users/bobzheng/.cache/modelscope/hub/damo/speech_campplus_sv_zh-cn_16k-common/campplus_cn_common.bin
Traceback (most recent call last):
File "/Users/bobzheng/Documents/code/ai/partner/gao/FunClip/funclip/launch.py", line 7, in
funasr_model = AutoModel(model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/lib/python3.11/site-packages/funasr/auto/auto_model.py", line 138, in init
self.cb_model = ClusterBackend().to(kwargs["device"])
^^^^^^^^^^^^^^
NameError: name 'ClusterBackend' is not defined

[leavenotrace]

Thanks, it is OK