I am getting a ModuleNotFound error for sklearn when deploying my streamlit app on the cloud. I am able to run the the file locally from my machine, and have verified that both scikit-learn and sklearn are in my Pipfile.lock along with the rest of my dependencies. Is there anything else I may be missing?
@willhuang I have a pipfile.lock which lists my dependencies. As far as I can tell, this is supposed to take priority over requirements.txt files. Is this not compatible with streamlit?
@willhuang I can try swapping out the .lock file for a requirements.txt file to see if that works any better. I’m not getting any other error in the logs, it just hits that line of code and throws the exception
A Pipfile is not the same as a Pipfile.lock. A Pipfile file lets you set up the requirements for packages using pipenv as the dependency manager, whereas a Pipfile.lock only specifies particular versions to be used of the packages listed in the Pipfile. But there is no Pipfile in the repo. Check here how to set up a Pipfile – notice that Pipfile.lock will be generated automatically:
@edsaac Got it, thank you! When I had read the pipenv docs, I saw that it recommended keeping both the pipfile and pipfile.lock in version control. Keeping both caused issues–I think it was looping between both dependency files–so I removed the pipfile and kept the pipfile.lock. I didn’t realize the pipfile.lock would be generated when the app was deployed. Thanks for the help!
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