GDPR Bot

Local Set-up

The instructions down below will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

You need to install Python and the package manager PIP. When you install Python <= 3.4 from the official website, PIP is already installed.

Rasa needs either Python 3.6 or 3.7.

To check your Python Version, enter the following command in your console/terminal.

# Install virtual enviroment
python3 --version

If the version number starts with 3.6 or 3.7, you can continue with the the installation here.

If you get an error saying "python3: command not found", please install Python 3.7.8 from here and with the the installation here.

If you get a different version number, you need to follow the instructions for pyenv-virtualenv here

Python 3.6 & 3.7

# Install virtual enviroment
pip install virtualenv

First set-up and start the virtual environment.

# Create virtualenv
virtualenv -p python3 bot

# Start environment
source bot/bin/activate

Other Python versions

Take a look at the official documentation for more information regarding the installation of pyenv-virtualenv.

1. Check out pyenv-virtualenv into plugin directory.

sh $ git clone https://github.com/pyenv/pyenv-virtualenv.git $(pyenv root)/plugins/pyenv-virtualenv

2. Add pyenv virtualenv-init to your console/terminal to enable auto-activation of virtualenvs. This is entirely optional but pretty useful. See "Activate virtualenv" below. ```sh $ echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.bash_profile

Next, run the following commands. It will download the Python version we want to use and set up a virtual environment.

```bash
pyenv install 3.7.8
pyenv virtualenv 3.7.8 bot

Start the virtual environment using

pyenv activate bot

Now, continue with the next section.

Clone and install the project

Now clone the repo to the "src"-folder or download the repo as zip, unpack the folder, move it into the folder of your environment and rename it to "src".

# Clone repository to current directory
cd bot
git clone https://github.com/fbennets/HCLC-GDPR-Bot src

Next install the requirements. If you get to many dependency errors, try to use the second command.

# Install dependencies
cd src
pip install -r requirements.txt

OR

pip install rasa[spacy]

Now, get the models for spacy to do the language processing.

python -m spacy download de_core_news_md
python -m spacy link de_core_news_md de

Train the language model and run the tests.

rasa train
rasa test

You're ready to start a conversation with your bot!

rasa shell

Built With

• Rasa - The Rasa bot-framework used

License

This project is licensed under the MIT License - see the LICENSE file for details.

Links

• HCLC Website