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cv-nlp-monstyr-app's Introduction

Open in Visual Studio Code

Team 7 (RubyDuckies)- Design Workbook

Public access link : https://docs.google.com/document/d/1YMKmIOjpvpO_nUn9TZ1Golm0piNVRxc6CtTDen5pzHQ/edit?usp=sharing

Google Site containing our Team’s video:

https://sites.google.com/sutd.edu.sg/rubyduckies/home

Installation Procedures

Local macOS Development

  • Version of Ruby : 2.7.6
  • Version of Rails : 7.0.3

Assuming homebrew is installed:

$ brew install rbenv
$ rbenv init
$ rbenv install 2.7.6
$ echo 'export PATH="$HOME/.rbenv/shims:$PATH"' >> ~/.zshrc

Close and open a new terminal, then execute the following commands:

$ rbenv global 2.7.6
$ rbenv local 2.7.6
$ echo "gem: --no-document" > ~/.gemrc
$ sudo gem install bundler
$ sudo gem install rails

Close and open a new terminal, then execute the following commands:

$ ruby --version
$ rails --version

for Local Windows OS:

  • Version of Ruby : 2.7.6
  • Version of Rails : 7.0.3

Use RubyInstaller

Procedure to run both backend and frontend together

chmod u+x ./testapp.sh
./testapp.sh

The above code will startup both backend and frontend serve. Simply open your browser and go to localhost:4200

Procedures to run Ruby on Rails app

Ensure ruby and rails are installed

  • Version of Ruby : 2.7.6
  • Version of Rails : 7.0.3

While in the backend folder,

$ cd backend
$ rails s

Procedures to run Angular app

Ensure node.js is installed Download NodeJS: https://nodejs.org/en/download/

While in the frontend folder,

$ cd frontend
$ npm install
$ ng serve

Testing with Cucumber

while in backend folder, (make sure u gitpull backend to have updated gemfile dependencies)

To install gems:

$ cd backend
$ bundle install

Run cucumber

$ cd backend
$ ng e2e

Click on .feature files to run test cases

For more information on implementing Gherkin steps in Cucumber

cucumber_steps

Deploying AI

using

Ensure Maven is installed

To run server:

mvn spring-boot:run

Continuous Training

Code can be found in data_workbench/continuous_training

  1. Create cloud function using source code in cloud-function.py
  2. Create pipeline using Vertex AI Workbench using notebook in continuous-training-pipeline.py

cv-nlp-monstyr-app's People

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