Tutorial Setup¶
You should be able to run the notebooks for this tutorial locally on a recent laptop.
Clone the Git repository¶
First clone the Git repository and install the dependencies:
git clone https://github.com/DerwenAI/pytextrank.git
cd pytextrank
Install Dependencies¶
If you're using pip to install libraries, it's a good practice
first to create a
virtual environment
and activate it:
python3 -m venv venv
source venv/bin/activate
Then install the dependencies for this tutorial:
python3 -m pip install -U pip
python3 -m pip install -r requirements.txt
python3 -m spacy download en_core_web_sm
Alternatively, to install the dependencies using conda:
conda env create -f environment.yml
conda activate pytextrank
python3 -m spacy download en_core_web_sm
Install JupyterLab¶
Next, make sure to install JupyterLab.
If you're using pip then you can run:
python3 -m pip install jupyterlab
If you need to install via pip install --user then you must add the
user-level bin directory to your PATH environment variable in
before launching JupyterLab.
If you're using a Unix derivative (FreeBSD, GNU/Linux, OS X), you can
use the export PATH="$HOME/.local/bin:$PATH" command.
To install using conda:
conda install -c conda-forge jupyterlab
Running Notebooks¶
If you're using pip with a virtual environment but also have conda
installed, be careful about one issue ... it turns out that the
conda installer is somewhat "overly zealous" and can munge your
environment paths.
To avoid path errors for the Python executable, when you have a virtual environment running as described above, the best way to launch JupyterLab is:
./venv/bin/jupyter-lab
This will cause JupyterLab to open a new tab in your browser, or launch your default browser if it wasn't already running
At this point, open the examples subdirectory to launch the
notebooks featured throughout the following sections of this tutorial.