metadata

title: NLP Assistant
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.27.0
app_file: app.py
python_version: 3.11
hardware: cpu-basic
pinned: false

🤖 NLP Assistant

A lightweight NLP-powered assistant that provides summarization, news classification, and event detection from text, PDF uploads, or article URLs. Built using Transformers, KeyBERT, Streamlit, and pdfplumber.

🚀 Features

📄 Summarization (with sliding window + meta-summary)
🗞️ News Classification using DistilBERT
📌 Event Detection with KeyBERT, spaCy & TF-IDF
📥 Upload PDFs
🔗 Input article URLs using newspaper3k

🛠️ Tech Stack

Streamlit - Web UI
Transformers (HuggingFace)
KeyBERT
pdfplumber for PDF extraction
PyTorch (auto GPU/CPU)
scikit-learn & sentence-transformers for KeyBERT
newspaper3k for url support
spacy & TfidfVectorizer for Extracting NER

📁 Folder Structure

nlp_assistant/ ├── app.py # Main Streamlit app ├── requirements.txt # Python dependencies ├── README.md # Project documentation ├── assets/ # Optional test PDFs │ └── sample.pdf └── modules/ # Modularized logic ├── init.py ├── classifier.py # News classification ├── event_detector.py # Event detection ├── models.py # Model loading ├── summarizer.py # Summarization └── utils.py # PDF reader

🧑‍💻 Getting Started

1. Clone the repo

git clone https://github.com/Raahul-Thakur/NLP-Assistant.git
cd NLP-ASSISTANT

2. Requirements

pip install -r requirements.txt

3. Run the app

streamlit run app.py

Models Used Task Model Summarization pszemraj/led-large-book-summary (Long LED Transformer) Classification Event Detection KeyBERT with sentence-transformers

Let me know if you’d like to:

Add badges (stars, forks, license)
Include a demo GIF/screenshot
contact

LinkedIn: https://www.linkedin.com/in/rahul-t-171458190/ Instagram: https://www.instagram.com/rah.ipynb Gmail: [email protected]

Spaces:

Raahulthakur
/

NLP-Assistant

Running