How to use quantized TensorFlow Lite files on Bangle?

Ok, to split files with Python, this can be used

import re
PATENTS = 'C:\\temp\left.txt'

def split_file(filename):
    # Open file to read
    with open(filename, "r") as r:

        # Counter
        n=0

        # Start reading file line by line
        for i, line in enumerate(r):

            # If line match with teplate -- <?xml --increase counter n
            if re.match(r'timestamp, x, y, z', line):
                n+=1

                # This "if" can be deleted, without it will start naming from 1
                # or you can keep it. It depends where is "re" will find at
                # first time the template. In my case it was first line
                if i == 0:
                    n = 0               

            # Write lines to file    
            with open("{}-{}.csv".format(PATENTS, n), "a") as f:
                f.write(line)

split_file(PATENTS)

Found it at Stackoverflow.
Need to modify the JS-code slightly to create just one file per event type, but that's not a biggie. After that I might have most other things in place for a write-up.