Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.
Using vanilla JavaScript, in real time, lets you track when the trains at a specified BART station are departing
BART's API doesn't work, so here's one that does
This project provides a web interface for uploading PDFs or entering text to generate a summarized output using the BiDirectional Auto Regressive Transformer (BART) model. The project is built using Flask for the backend and HTML, CSS, and JavaScript for the frontend
This repository provides a Flask web application that harnesses the capabilities of BERT, BART, and RoBERTa models for NLP tasks on the 20 Newsgroups dataset. The application classifies articles, generates concise summaries, and answers user-posed questions.
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