text-summarizer
A repos for USTH SE 2020 Group 1 project. It's quite obvious in the title.
UNLICENSE License
Text summarizer
A repos for USTH SE 2020 Group 1 project. It's quite obvious in the title.
Warning
If you want to contribute to this repos, please read CONTRIBUTING.md
If you git clone or download the repos, you will have nightly-build product.
If you download 'Release' section, you will have stable product.
You can check out 'Wiki' section to understand more about the backend and the frontend.
1. Requirements
pip install -r requirements.txt .
Run this command line in 'modules' folder to set up all packages.
python nltk_downloads.py
Run this command line in 'modules' folder to set up all components related to nltk.
2. Ignite the app
python text-sum-core.py
Run this command line in 'webapp' folder to start the application.
Open your favorite browser and go to this link.
http://localhost:5000/text-summarizer
3. Usage
It's quite easy to use.
Plain text (in English)
You can paste your long text in the first input box then click summarize this.
The web app will return you as text file named out.txt
Wikipedia article (in English)
You can paste a link to an English Wikipedia article such as this or that
https://en.wikipedia.org/wiki/Communist_Party_of_Georgia_(Soviet_Union)
https://en.wikipedia.org/wiki/Loss_function
The web app will return you as text file named out.txt
Documents (Purely created and in English)
You can upload a .pdf, .odt, .docx file then click summarize this.
The web app will return you as text file named out.txt
4. Some documents
You can check out in 'documents' folder.
5. Videos
~ Author: Vu Dinh Anh ~
