Unable to run jupyter on custom docker image
I am basically trying to build my own custom container and run jupyter lab in it. I've copied the configuration from base rundpod image from github. Everything is fine there. The problem occurs when the pod is booted up as it is supposed to start jupyterlab but we get the jupyter command not found issue which is why port 8888 is not ready. First screenshot is from my local machine where i get into the docker and i see jupyter --help works. Second one is from the runpod instance where it complains that jupyter is not found but then when i install in my conda env it only updates certifi version (as you can see from the screenshot) and then after that jupyter command is available again. I'm puzzle by this behaviour. How can a same docker container behave differently in different environments?
