/BERT-based-Document-Summarizer

A Multi Document Summarizer Using Bidirectional Encoder Representations from Transformers (BERT)

Primary LanguagePython

BERT based Document Summarizer 📝

Project Status: Active

A multi document summarizer CLI for getting the synopsis of documents(PDFs/word documents/text files).

Installation:

Run the command pip install -r requirements.txt to get the necessary dependencies installed in your system.

Usage:

  • Place all your documents in the input folder.
  • Execute the command: python main.py. On running the code for the first time, the pipeline will first download the model (~1.4 GB) and then you will see the summaries of the documents in a sequential manner being generated in your terminal/command prompt.