Main repo for the Pepper-Bot project @ Deakin University.
TBA
TBA
To get added as a collaborator on this project, please get approval from [email protected] or [email protected].
Note: This project is open to contributions from Deakin University students only.
You will need to clone the repository to start contributing to the project. Furthermore, a docker image has been created and published to aid with the development (and eventually deployment) process involved in this project. The specific Dockerfiles used to build the image has been provided in the /dockerfiles folder. This folder will also have other dockerfiles used to host the code for other components of the overall project. Instructions to building the image yourself have been provided in /dockerfiles/README.md file.
In order to use the Dockerized development environment you need to have Docker installed on your system. More instructions for installation are given on the official website.
Alternatively, you may also follow the instructions for installing the Python SDK on your own machine from the official websites here and here. If you wish to follow this approach, you can skip the docker installation entirely and the instructions below. You may start contributing directly once the SDK is installed and working.
Once you have cloned the repository and have docker running on your system run the following command in the root of the project to get started.
docker run -p 8888:8888 -v "${PWD}:/app" vediyd/pepper-botThis command has been tested on both powershell and Ubuntu18.04.
The output looks like this,
To access the notebook, open this file in a browser:
file:///root/.local/share/jupyter/runtime/nbserver-1-open.html
Or copy and paste one of these URLs:
http://(a1e4dbc53a50 or 127.0.0.1):8888/?token=a1f543ff297067fcf18323d02793d810db6ff33e762a6a62
After launching the docker container, you can then use the returned url to access the jupyter interface through your system's browser.