Found 15 repositories(showing 15)
jhrcook
A web app built with Streamlit that summarizes input text
shreyashsupe
This project implements an extractive text summarization tool for Marathi news articles using the TextRank algorithm. It preprocesses text, ranks sentences based on importance, and generates concise summaries. The tool features a Streamlit-based interface, making it easy to input Marathi text and obtain summaries efficiently.
liuj66794-sys
基于 FastAPI + Streamlit 的纯离线政策报告智能分析引擎 (Pro版)。支持 PDF/Word 解析、Transformer 语义变迁比对、TextRank 动态删减监测及 Markdown 简报导出。专为复杂 NLP 落地与工程化实战打造。
Bhavani-Shanker
No description available
create-better
This streamlit app uses TextRank Algorithm to summarise the given content
Thanu1704
A Streamlit project for Multi-Document Research Paper Summarization using LLM (BART) and TextRank.
DoerRjij
Hybrid text summarizer and document Q&A app using Streamlit, TextRank, Ollama, and FAISS.
safiasaad2
A simple Streamlit web app for summarizing English text using LSA, Luhn, LexRank, and TextRank algorithms.
Tejeshwar2006
An extractive text summarization system built with Python and NLTK using TextRank and PageRank algorithms. It processes large documents to identify key sentences and provides an interactive Streamlit interface for real-time summarization.
akasha456
A Streamlit-powered NLP application that efficiently summarizes large text documents using extractive (TextRank) and abstractive (BART) techniques. Users can input news articles, reports, or essays and receive a refined summary tailored to their needs.
Shubham0699
Graph-based extractive summarizer for Marathi language implementing TextRank algorithm with PageRank for sentence ranking. Handles Devanagari script, processes multiple formats, offers user-controlled compression ratios. Tech stack: Python, Streamlit, NetworkX, scikit-learn. Production-ready NLP application.
ayeshakhanum-26
An AI-powered Book Summarization System that uses Machine Learning (TextRank) and Generative AI (Google Gemini) to automatically summarize and expand book descriptions. Built with Python and Streamlit, it provides an interactive interface for fast, accurate, and human-like text generation.
KrutikaGS244
An AI-powered Book Summarization System that uses Machine Learning (TextRank) and Generative AI (Google Gemini) to automatically summarize and expand book descriptions. Built with Python and Streamlit, it provides an interactive interface for fast, accurate, and human-like text generation.
basmalagamal
This Chat Bot summarizes text, PDF, and DOCX files in English and Arabic using LSA, LUHN, LexRank, and TextRank. It also corrects grammatical errors and highlights key entities. Built with Python and Streamlit, this project showcases my skills in AI and user-centric design.
Hasan1904
This is a simple yet powerful Streamlit web application that performs extractive summarization on user-provided text using the TextRank algorithm from the sumy library. Extractive summarization works by selecting and presenting the most important sentences from the original text without altering the content or structure.
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