A text and document summarizer made in python with the txtai library and hosted on Streamlit.

AI Text Summarizer App - Quickly generate concise summaries of lengthy articles, research papers, and other documents using advanced AI technology. Improve your productivity and save time with our easy-to-use summarization tool. Perfect for students, researchers, and professionals. Try it now!

Text Summarizer: A simple Python project that uses Natural Language Processing (NLP) techniques to summarize long text articles. The project employs NLTK for text processing and Streamlit for an interactive user interface, allowing users to input text and receive concise summaries.

Flask-based API that provides a user-friendly interface to summarize text in any language supported by the BART model and then translate it to English.

AI text summarizer using hugging face API ,Node.js, Express.js

Developed a Named Entity Recognition (NER) model with an integrated text summarizer to efficiently extract and summarize key information from unstructured text data.

Developed a Sequence-to-Sequence (Seq2Seq) model with LSTM units for text summarization, utilizing the BBC News Summary dataset and implemented with an encoder-decoder architecture for effective information extraction and summarization.

Pdf, Doc, Text file and email threads summarizer using genai api and streamlit in the frontend

Web application that provides text summarization functionality built using Flask for the backend and HTML, CSS, and JS for the frontend and uses the Hugging Face Transformers library.

The project specializes in Text Summarization using NLP's extractive approach, preserving key information for concise summaries. Customize length, handle various formats, and enjoy a user-friendly interface. Applications include content aggregation, document skimming, and data analysis. Hop in to simplify information consumption! 🚀

A web based text summariser using an extractive approach.

Python script for text summarization using the T5 model.

In this project, we propose to implement a web application that can summarize a text or a Wikipedia link. We have additionally been given an opportunity to compare different methods of summarization.

Exploring Open Source Generative AI models for understanding and summarizing documents

this is an application for summarising text

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Text Summarizer, Flipkart Web Scraper and Online Video Downloader

🔬 Choose a academic research papers and get a TL;DR for it in seconds.