ability to run this utility from databricks notebook

[aamend]

Instead of running as a separate utility, the same could be ran from a databricks notebook environment where PDF could be rendered right away and possibly attached to a registered model.

• this includes generating token programmatically or authenticating differently
• persist generated HTML outside of temp folder so that it can be rendered through displayHTML
• make PDF downloadable by writing to /Files or by "base64" it
• optionally attached this PDF alongside ML experiment

Possibly using instead of reinventing the wheel

serving_host = spark.conf.get("spark.databricks.workspaceUrl")
creds = get_databricks_host_creds()

[Muhtasham]

that would be very neat @aamend