Module not found when deploying streamlit via github


I am getting the following error on my app:
ModuleNotFoundError: No module named ‘sklearn’

I have triple checked my requirements.txt, which specifies sklearn with the correct version, so am I at a loss about how to troubleshoot this issue.

Here is my app:

Hi @mvantieghem, just double-checking on a possible easy solution. Have you tried having scikit-learn instead of sklearn in the requirements.txt?


Hi Monchier, yes I jus tried that and same error. I don’t have to do anything to re-launch the app other than push the changes to github, correct?

Hi @mvantieghem!

From the logs, it looks like an error in the requirements.txt file:

Collecting absl-py==0.10.0
  Using cached absl_py-0.10.0-py3-none-any.whl (127 kB)
Collecting alabaster==0.7.12
  Using cached alabaster-0.7.12-py2.py3-none-any.whl (14 kB)
Requirement already up-to-date: altair==4.1.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (4.1.0)
Collecting applaunchservices==0.2.1
  Using cached applaunchservices-0.2.1-py3-none-any.whl (6.1 kB)
Collecting appnope==0.1.0
  Using cached appnope-0.1.0-py2.py3-none-any.whl (4.0 kB)
Collecting argh==0.26.2
  Using cached argh-0.26.2-py2.py3-none-any.whl (30 kB)
Processing /opt/concourse/worker/volumes/live/c4db8eed-7de0-4d68-400c-2ea7e21d3750/volume/argon2-cffi_1596828478065/work
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/opt/concourse/worker/volumes/live/c4db8eed-7de0-4d68-400c-2ea7e21d3750/volume/argon2-cffi_1596828478065/work'

2020-10-13 01:57:49,231 INFO exited: pip (exit status 1; not expected)

This error should be visible in the companion terminal on the app page. I suspect the error is due to the local path on your workstation not being available in Streamlit Sharing.

Hope this helps!


Hi Amey, thanks. I am not sure when the streamlit deployment instructions changed to use pipreqs to generate the requirements.txt, but that worked perfectly. My app is working!

Hi, I am also facing the same issue. I generated the requirements.txt file using pipreqs but I still get the same error.

Link to my app is

It would be great if someone could give some suggestions/solutions.

Hi @dhanyajothimani -

Currently, Streamlit sharing requires the requirements.txt file to be at the top-level of the directory. So if you move/copy to the top-level, your app should move past the library error.


Just to add to this thread. I had the same problem but it was resolved by using pipreq to generate the requirements.

I don’t know if it’s related but sklearn was the only module that installed into my local environment using pip, the rest were installed using miniconda

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Hi Randy,

That solved the error. However, I used git LFS to upload the csv file - does streamlit support this currently?

Git LFS is on our very short-term roadmap, I believe it will be available in February. For now, it won’t work on Streamlit sharing.

Git LFS should have gone out in the Streamlit sharing release this evening, please try it out and let us know if you have any issues.