A NLP based text summarizer. Can summarize PDF documents and Wikipedia articles too.
Uses NLTK for Python to enable tokenisation and core NLP features for Extractive Summarisation, and Hugging Face Transformers for Abstractive Summarisation, with Streamlit for front-end.
Uses Streamlit upload feature, and PDFPlumber to parse text in the PDF. Issues with academic papers which causes some text to become garbled. Works well on non-technical text.
Uses BeautifulSoup to extract text from HTML before passing through the text summarisation engine.
Basic textbox to allow for copy and paste entry of text for summarisation.
- Install requirements -
pip install -r requirements.txt - Run streamlit -
streamlit run app.py
In the demo, you can test out extractive summarisation.
Live demo here: https://suyesha07-pysummarize-app-kwx0pp.streamlitapp.com/