Automatic Web Article Summarizer
What is it?
ExplainToMe is a automatic text summarizer, that utilizes
a graph based algorithm to scans through the contents of a website to
extract a concise machine generated summary. The methodology is similar
to the way search engines return the most relevant web pages from a
users search query.
Here’s a list of Python platforms that are officially supported.
- Python 2.7
- Python 3.4
- Python 3.5
- pypy 2.5.0 -> 2.7.9
We are working on Python 3.6
$ git clone https://github.com/jjangsangy/ExplainToMe.git
Create a virtualenv
$ virtualenv -p python venv
$ source venv/bin/activate
Install Python Dependencies
$ pip install --upgrade pip setuptools wheel $ pip install -r requirements.txt
$ python manage.py runserver Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Now go to your browser and point it towards
Running ExplainToMe via the official Docker image is an easy way to start a server if you don't want to install python.
We assume here you have already installed Docker for your system.
If you are getting started on OS X, the Docker toolbox is the first thing to checkout.
$ docker run -it -p 5000:5000 jjangsangy/ExplainToMe:latest
Once the server is running, navigate to either localhost:5000 (on Linux) or hostname:5000 (on Mac OS X), where hostname is the IP addresses of your virtual machine, obtained using
$ docker-machine ip my-vm-name
Now access your docker machine ip at port
You might also want to try Kitematic on OS X which provides a GUI for running Docker images.
Running ExplainToMe through Kitematic is easy, just search for the
jjangsangy/ExplainToMe image, start it, and you should see it running
Things to look forward to:
- Summaries of documents in other languages than English!
Check out our Swagger API Documentation