Hey Denver, happy to try and help you out with this! Where you should start is our documentation for voxl-tflite-server which is how we often run ML models on VOXL. What you'll see from those docs is that we have a bunch of pretrained models already onboard as well as a bit of support for custom models. voxl-tflite-server then writes AI predictions out to a pipe using libmodal-pipe. However libmodal-pipe currently only has a C/C++ API and so you'd have to make a simple piece of C code to consume data from the pipe and invoke your Python script accordingly.
I'm more than happy to help with this, but it would be good to do some reading first. I'd check out that documentation link above as well as the one on the Modal Pipe Architecture to learn how processes communicate with each other. From there I can start to answer more specific questions and help you build this out.
Hope this helps!
Thomas Patton