ADD: docker files to run project in a container

README.md

@@ -20,6 +20,8 @@ properties of both neural nets (learning) and symbolic logic (knowledge and reas
   knowledge.
 
 ## Quickstart
+You can install the LNN locally on your machine or inside a container.
+### Install on Local Machine
 To install the LNN:
 1. Install [GraphViz](https://www.graphviz.org/download/) and gmp (libgmp3-dev)
       <details>
@@ -76,7 +78,22 @@ To install the LNN:
     ```commandline
     pip install git+https://github.com/IBM/LNN.git
     ```
+### Run in Container
+Download or clone the repository using the command below:
+```commandline
+git clone https://github.com/IBM/LNN.git
+```
+
+and then run
+```commandline
+cd docker && docker-compose up
+```
 
+Then open the address below in your browser:
+```
+http://localhost:8888/
+```
+This should open the Jupyter Notebook UI with all environment ready to work with LNN.
 ## Contribution
 Contributions to the LNN codebase are welcome!
 

docker/Dockerfile

@@ -0,0 +1,10 @@
+FROM python:3.9.10-slim-buster
+
+WORKDIR /home/LNN
+
+RUN apt-get update && apt-get install --assume-yes gcc wget python3-dev git graphviz graphviz-dev libgraphviz-dev pkg-config libgmp-dev
+RUN /usr/local/bin/python -m pip install --upgrade pip
+
+EXPOSE 8888
+
+CMD ["./docker/docker-entrypoint.sh"]

docker/docker-compose.yaml

@@ -0,0 +1,17 @@
+version: '3.3'
+
+services:
+  ibm_lnn:
+    container_name: ibm_lnn
+    build: 
+      context: ../
+      dockerfile: docker/Dockerfile
+    ports:
+      - "8888:8888"
+    volumes:
+      - ../:/home/LNN
+
+
+
+
+

docker/docker-entrypoint.sh

@@ -0,0 +1,5 @@
+#!/usr/bin/env bash
+
+pip install .
+
+jupyter notebook --ip 0.0.0.0 --no-browser --allow-root --NotebookApp.token='' --NotebookApp.password=''