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modelscope / FunClip

Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
MIT License
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启动报错ClusterBackend is not defined #31

Closed Error9ood closed 3 months ago

Error9ood commented 3 months ago

启动之后报错NameError: name 'ClusterBackend' is not defined

Traceback (most recent call last): File "C:\PyCharmProject\FunClip-main\funclip\launch.py", line 7, in funasr_model = AutoModel(model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", File "C:\Users\10379\AppData\Local\Programs\Python\Python310\lib\site-packages\funasr\auto\auto_model.py", line 138, in init self.cb_model = ClusterBackend().to(kwargs["device"]) NameError: name 'ClusterBackend' is not defined

LauraGPT commented 3 months ago

pip install funasr==1.0.25 sklearn

leavenotrace commented 3 months ago

(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 commented 3 months ago

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

wanghuii1 commented 3 months ago

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

leavenotrace commented 3 months ago

Thanks, it is OK