spec.yaml is not updated correctly

[hvgazula]

https://github.com/neuronets/trained-models/actions/runs/6762690478/job/18378961087#step:8:1

The input arguments don't match the order of arguments the function is expecting.

[gaiborjosue]

Hello Harsha, yes. It seems it is a matter of removing "docker" from the default path in the workflow when calling the Python file. I will create a branch and solve this.

[gaiborjosue]

Hello @hvgazula, I am trying to solve this issue right now. However, the current workflow is the one separated in multiple jobs (not the one you refactored). Thus, do you think that this can be solved directly within the new refactored workflow? Or should I go ahead and solve it in the old workflow in a separate branch?

[gaiborjosue]

I checked your refactored workflow, and it seems this issue is already solved there.

[hvgazula]

I don't think it is resolved. Which workflow did you check?

[gaiborjosue]

https://github.com/hvgazula/trained-models/actions/runs/6831844963

It didn't fail, that is why I assume you fixed it.