Unable to install sleap in Google Colab: "× Preparing metadata (pyproject.toml) did not run successfully."

[Johanna-Ott]

Hi,
I am new at working with sleap and want to train in Google Colab. But unfortunately, I struggle to install it in there.

I tried multiple ways, following the installation guide here, creating an environment as mentioned here and upgrading the setuptool wheels.

Everytime I get the following error:

Collecting scipy<=1.9.0,>=1.4.1 (from sleap[pypi]==1.4.1)
  Using cached scipy-1.9.0.tar.gz (42.0 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
  error: subprocess-exited-with-error
  
  × Preparing metadata (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> See above for output.
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  Preparing metadata (pyproject.toml) ... error
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.

Maybe I am missing something obvious? It would be great if someone could nudge me in the right direction:)

[gitttt-1234]

Hi @Johanna-Ott !!

Colab recently updated their python to 3.11 which requires scipy > 1.9. However, for our package we use python 3.7.12 which supports scipy <= 1.9 (we pinned the version to resolve dependency conflicts). We could get past the scipy dependency however, there would again be a conflict with tensorflow with the latest python version. You could try creating a virtual env in colab with python v3.7.12 (it's a bit tricky but might work)

Thanks,

Divya

[Johanna-Ott]

Thank you! It took me a bit back and forth but I got there