Running Existing HMM/LSTM Github Code & Bespoking to Stock data

There is existing Github code for a multivariate stock analysis model that is accessible in two locations:
https://github.com/JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM (full code, paper, and guidance)
https://github.com/Yikiwi13/HMM-GMM-Timing-Strategy (Updated code for training)

The task is to take this existing code and a modern S&P 500 data set, and to get this working with S&P 500 data.

The machine I'd like to be running it on is Windows 10, Pycharm, Python 3.8 / 3.9. Most of the packages are installed already apart from GMM_HMM which I can't quite figure out. I will need help to actually get it running

In essence can I get support (1) bespoking the references to S&P 500 time series data set rather than the Chinese stock datasets; and (2) running the code on my machine

The success of this project will lead to further machine learning and python coding work in this space.