Closed ElviraLL closed 1 year ago
We have updated the installation instructions, so that the installation is faster. If there are still issues, we give more options for trouble-shooting in the Readme. We also provide a google colab so that you can run a demo of our code, without worrying about system-specific behavior.
Hi,
I am very interested in your project and I would like to try it out on my own data. However, I am having trouble installing the environment on my system. I first tried to use
conda env create -f env.yml
as suggested in the README, it takes forever to solve the environment then I started to try installing the dependencies one by one. But it seems like some of the packages are conflict with each other.I was wondering if you could provide a docker image of the project that contains everything needed to run it. This would make it much easier for me and other users to use your code without worrying about installation issues.
I appreciate your work and I hope you can consider my request. Thank you very much.
My system information: Operating system: Ubuntu 22.4 Python version: 3.9 Conda version: 23.1.0 Pip version: 23.0.1