abstractive summarisation

Practical guide to building a fast, private, local AI summarization workflow on Linux: convert PDFs/DOCX/HTML to text, run extractive summaries with Sumy, and produce higher-quality abstractive briefs via a Transformers-based Python script that chunks long docs. Includes distro-specific installs, optional OCR/GPU, a Bash wrapper for per-file or batch runs, and tips to tune speed, length, and fidelity.