convert to cog

index.py

from rio_cogeo.cogeo import cog_translate
from rio_cogeo.profiles import cog_profiles

def translate(src_path, dst_path, profile="deflate", profile_options={}, **options):
    """Convert image to COG."""
    output_profile = cog_profiles.get(profile)
    output_profile.update(dict(BIGTIFF="IF_SAFER"))
    output_profile.update(profile_options)

    config = dict(
        GDAL_NUM_THREADS="ALL_CPUS",
        GDAL_TIFF_INTERNAL_MASK=True,
        GDAL_TIFF_OVR_BLOCKSIZE="128",
    )

    cog_translate(
        src_path,
        dst_path,
        output_profile,
        config=config,
        in_memory=False,
        quiet=False,
        **options,
    )
    return True

# print(cog_profiles)
translate('/home/pronit/workspace/processing/4e6708df-02bb-4856-a06b-cf599442da51_2021-09-09T16-54-43-236_transparent_mosaic_group1-transformed.tif', '/home/pronit/workspace/processing/4e6708df-02bb-4856-a06b-cf599442da51_2021-09-09T16-54-43-236_transparent_mosaic_group1-transformed-1.tif')

Libraries you need.
rio_cogeo
gdal >3.2