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install.md

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INSTALLING AND RUNNING THE APP

Install Python3 and pip

  1. Update ubuntu packages
sudo apt-get update
  1. Install Python3
sudo apt-get install python3.6
  1. Check if Python3 is installed
python3.6 --version
  1. Install pip for Python3.6
sudo apt-get install python3.6-pip
  1. Install virtualenv
sudo pip3.6 install virtualenv
  1. Create the virtualenv
virtualenv --python=python3.6 venv
  1. Activate virtualenv using
. venv/bin/activate

Install elastic-search and python dependencies, and running elastic-search server

  1. cd into the main repo.
  2. Run the following commands
  • # set up keys
curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | apt-key add -

# Update files and install default-jre
apt-get update
apt-get install default-jre -y


# Install JDK
apt-get install default-jdk -y

# Install Oracle JDK
add-apt-repository ppa:webupd8team/java
apt-get update

# Install JDK 9
apt-get install oracle-java8-installer -y


  • # Import the Elasticsearch PGP key
wget -qO - https://artifacts.elastic.co/GPG-KEY-elasticsearch | apt-key add -

# Install transport-https package 
apt-get install apt-transport-https -y
echo "deb https://artifacts.elastic.co/packages/6.x/apt stable main" | tee -a /etc/apt/sources.list.d/elastic-6.x.list

# Install elastic-search 
apt-get update 
apt-get install elasticsearch -y

# Running Elasticsearch with systemd
/bin/systemctl daemon-reload
/bin/systemctl enable elasticsearch.service

# Start elasticsearch
systemctl start elasticsearch.service

# Make a GET request, to check if elasticsearch node is running
# curl -X GET "localhost:9200/"

# Install the libraries from pip
pip install -r requirements.txt
  1. Press enter when prompted.
  2. You will be asked to accept the license for installing java when prompted. Press enter to accept the license

Loading the different API endpoints of ElasticSearch is working

  1. Open the main folder. Change directory into ElasticData
cd ElasticData
  1. Now run
cd TheFinalJson
curl localhost:9200/cases/_bulk -H "Content-type:application/json" -X POST --data-binary @CasesFinal.json
  1. Go back using
cd ..
  1. Go to acts and run
cd acts
curl localhost:9200/acts/_bulk -H "Content-type:application/json" -X POST --data-binary @Acts.json
  1. Come back to the main repo using
cd ../..

Install Node dependecies

  1. Run from the main repository
chmod +x run_node.sh

and

sudo run_node.sh

to install node dependencies. 2. cd into the

cd node

folder. Run

node server.js

Downloading the trained data and then unzipping into the tmp folder

  1. Download the trained model
wget 0 https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip
  1. Unzip the trained model into the main repo using
unzip uncased_L-12_H-768_A-12.zip
  1. Make temp_files
mkdir temp_files

in the main repo.

Running the bert server

  1. Open another terminal and open the main repository.
  2. cd into temp_files
cd temp_files
  1. Run
bert-serving-start -model_dir ../uncased_L-12_H-768_A-12 -num_worker=1 -max_seq_len=500

Running the nodejs server

  1. Open another terminal and open the main repo.
  2. Change directory to node
cd node

to cd into the node directory. 3. Run

node server.js

for starting the server.

Running the flask server

  1. Open another terminal and open the main repo
  2. Run
python server.py