No module named 'numpy' during installing Riskfolio-Lib, after installing numpy

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I consistently getting the following attempting to deploy my app to Streamlit cloud. Essentially the installation of Riskfolio-Lib cannot find the installed numpy.

I have managed to get it working once but it still comes back to this problem.

Collecting numpy==1.23.5
  Downloading numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.1/17.1 MB 223.2 MB/s eta 0:00:00[2023-02-25 14:02:25.454561]

…

Collecting Riskfolio-Lib
  Downloading Riskfolio-Lib-4.0.3.tar.gz (12.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.9/12.9 MB 130.2 MB/s eta 0:00:00[2023-02-25 14:02:28.806161] 
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'error'
  error: subprocess-exited-with-error
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [6 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-fnma2v77/riskfolio-lib_1328a963259a48cea2f755a2a71c78d3/setup.py", line 4, in <module>
          import numpy as np
      ModuleNotFoundError: No module named 'numpy'
      [end of output]
  note: This error originates from a subprocess, and is likely not a problem with pip.
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.

Below are my dependencies. I have included all that are needed as specified in Riskfolio-Lib · PyPI and have specified the versions running on my local IDE.

numpy==1.23.5
scipy==1.9.3
pandas==1.4.4
matplotlib==3.6.2
cvxpy==1.3.0
statsmodels==0.13.2
arch==5.3.1
networkx==2.8.4
astropy==5.1
pybind11==2.10.3
streamlit==1.18.1
stockstats==0.5.2
openpyxl==3.0.10
yfinance==0.1.72
Riskfolio-Lib

The repository is at phat-ap/quant_tools (github.com) and the app is Efficient_Frontier_SET.py

2

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