Weixin-Liang / LLM-scientific-feedback

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
Creative Commons Attribution 4.0 International
489 stars 49 forks source link

conda_environment.yml在Ubantu中安装出错 #7

Closed XinyeYang closed 10 months ago

XinyeYang commented 11 months ago

在Mac M1和Ubantu中安装都遇到了错误

PDFParse
XinyeYang commented 11 months ago

你好,其他issue中提到的开放接口已经打不开了

Zhong-Zhang commented 11 months ago

MacBook Intel Chip also failed, I believe the project cannot run on Mac (M1 and Intel). I finally have it worked on Ubuntu 22.04. Try to update the conda and source.

XinyeYang commented 11 months ago

I installed the latest version of miniconda in Ubuntu22.04 and it still fails.

Zhong-Zhang commented 11 months ago

I installed the latest version of miniconda in Ubuntu22.04 and it still fails.

I didn't use miniconda, here is my conda info:

image
XinyeYang commented 11 months ago

I tried anaconda3 in Ubuntu22.04 and got the same error. It may not work on arm systems. 😔

yuhui-zh15 commented 10 months ago

Thanks for your interest in our system. Unfortunately ScienceBeam only supports x86 Linux. Let us know if you find a way to install ScienceBeam on other systems.

yuhui-zh15 commented 10 months ago

We now added a new system that supports texts as input:

Usage:

python main_from_text.py  # If you are using non-linux operating systems or want to generate feedback from the parsed paper in text format