Solution for package compatibility errors

[tifa365]

If you run into package compatibility errors, try the following:

1. Create a virtuel environment with conda or python, use version 3.5

conda create --name py35 python=3.5.
conda activate py35

2. Install chicksexer

pip install chicksexer

3. Conda/Python will likely install the newest package versions because of the requirements.txt, so you have to reinstall the necessary packages

pip install regex==2017.4.29
pip install docopt==.6.2
pip install scipy==0.18.1

4. Use pip list to make sure all necessary packages are installed with the following version numbers:

numpy==1.12.1
tensorflow==1.0.1
scikit-learn==0.18.1
scipy==0.18.1
docopt==0.6.2
regex==2017.4.29

5. Start Python with the Python command from the shell, now you should be able to import chicksexer:

from chicksexer import predict_gender
predict_gender('John Smith')

[chaojian-zhang]

Is there any way to deal with it if after pip install checksexer I got TensorFlow Version: 2.4.1, with Python 3.8?

Currently, I am encountering this error:

ModuleNotFoundError: No module named 'tensorflow.contrib'

[tifa365]

Did you try using Python 3.5?