microsoft / microsoft/OmniParser
运行python gardio_demo.py显示模块无法找到
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Description
(omni) D:\1\GitTools\OmniParser-master\OmniParser-master>python gradio_demo.py
WARNING: OMP_NUM_THREADS set to 24, not 1. The computation speed will not be optimized if you use data parallel. It will fail if this PaddlePaddle binary is compiled with OpenBlas since OpenBlas does not support multi-threads.
PLEASE USE OMP_NUM_THREADS WISELY.
[2025-02-27 18:34:34,372] [ WARNING] easyocr.py:80 - Neither CUDA nor MPS are available - defaulting to CPU. Note: This module is much faster with a GPU.
Florence2LanguageForConditionalGeneration has generative capabilities, as prepare_inputs_for_generation is explicitly overwritten. However, it doesn't directly inherit from GenerationMixin. From 👉v4.50👈 onwards, PreTrainedModel will NOT inherit from GenerationMixin, and this model will lose the ability to call generate and other related functions.
- If you're using
trust_remote_code=True, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes - If you are the owner of the model architecture code, please modify your model class such that it inherits from
GenerationMixin(afterPreTrainedModel, otherwise you'll get an exception). - If you are not the owner of the model architecture class, please contact the model code owner to update it.
信息: 用提供的模式无法找到文件。
- Running on local URL: http://0.0.0.0:7861
- Running on public URL: https://d4c7dde35149c8e807.gradio.live
This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run gradio deploy from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)
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Research direction
Reproduce the reported python gradio_demo.py entry point and inspect the complete output around the claimed missing module. Determine whether this is an import failure or the Windows file-search message shown in the report; done means identifying the exact cause and documenting a verified resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, computer-vision, tooling
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100