Use Natural Language Understanding

.travis.yml

@@ -0,0 +1,28 @@
+language: node_js
+dist: trusty
+sudo: required
+node_js: 6
+script:
+- npm run build
+- npm run lint
+
+cache:
+  directories:
+  - node_modules
+env:
+  global:
+  - BX_APP=social-customer-care
+  - BX_API=https://api.ng.bluemix.net
+  - BX_ORGANIZATION=WatsonPlatformServices
+  - BX_SPACE=appgallery
+before_deploy: npm install -g https://github.com/andresfvilla/bx-blue-green
+deploy:
+  provider: script
+  script:
+    - bx-blue-green-travis
+  on:
+    branch: master
+    repo: watson-developer-cloud/visual-recognition-nodejs
+  skip_cleanup: true
+notifications:
+  email: false

GulpFile.js

@@ -1,4 +1,3 @@
-
 var gulp = require('gulp');
 var wrench = require('wrench');
 

README.md

@@ -1,4 +1,4 @@
-# <%= bluemix.name -%> [![](https://img.shields.io/badge/bluemix-powered-blue.svg)](https://bluemix.net)
+# Social Customer Care [![Build Status](https://travis-ci.org/watson-developer-cloud/social-customer-care.svg?branch=master)](https://travis-ci.org/watson-developer-cloud/social-customer-care)
 
 This application is a Starter Kit (SK) that is designed to get you up and running quickly with a common industry pattern, and to provide information and best practices around Watson services. This application was created to demonstrate how the [Natural Language Classifier][natural-language-classifier] can be used to direct customer requests and queries to the appropriate agent or workflow. Additionally, [Natural Language Understanding][natural-language-understanding], and [Personality Insights][personality-insights] demonstrate how to efficiently provide an agent with customer insights.
 
@@ -27,7 +27,6 @@ TWITTER_ACCESS_TOKEN_SECRET=REPLACE WITH YOUR ACCESS TOKEN SECRET
 
 ### Run locally as Node.js application
 
-
 ```sh
 npm install
 npm run build
@@ -44,15 +43,9 @@ bx dev run
 ### Deploy to Bluemix as CloudFoundry application
 
 ```sh
-cf push
+bx cf push
 ```
 
-### Deploy to Bluemix automatically
-
-[![Deploy to Bluemix](https://bluemix.net/deploy/button.png)](https://bluemix.net/deploy)
-
-[![Create Toolchain](https://console.ng.bluemix.net/devops/graphics/create_toolchain_button.png)](https://console.ng.bluemix.net/devops/setup/deploy/)
-
 ### Directory structure
 
 ```none
@@ -72,7 +65,6 @@ cf push
 └── views                                    // Views
 ```
 
-
 ## About this pattern
 
 For a given input, a trained Natural Language Classifier responds with a list of intent classes and a confidence score. A frequent use case is to use the user intent and confidence scores to determine how best to assist a customer. This pattern can be used to send customers to an appropriate agent, to respond to commonly asked questions, and to begin the appropriate dialog conversation as is done with the [Conversational Agent](https://github.com/watson-developer-cloud/conversational-agent-application-starter-kit) Starter Kit. This Starter Kit demonstrates the basic approach of how the Natural Language Classifier can be easily used to improve customer support.
@@ -117,10 +109,9 @@ The following links provide more information about the Natural Language Classifi
 * [API reference](http://www.ibm.com/watson/developercloud/personality-insights/api/v3/): SDK code examples and reference
 * [API explorerer](https://watson-api-explorer.mybluemix.net/apis/personality-insights-v2): Try out the REST API
 
-
 ## License
 
-  This sample code is licensed under Apache 2.0.
+MIT.
 
 [natural-language-understanding]: http://www.ibm.com/watson/developercloud/natural-language-understanding.html
 [natural-language-classifier]: http://www.ibm.com/watson/developercloud/nl-classifier.html

manifest.yml

@@ -1,19 +1,13 @@
 ---
 applications:
-- disk_quota: 1024M
-<% if (bluemix && bluemix.name) { -%>
-  name: <%= bluemix.name %>
-<% } -%>
-<% if (bluemix && bluemix.server && bluemix.server.domain) { -%>
-  domain: <%= bluemix.server.domain %>
-<% } -%>
-<% if (bluemix && bluemix.server && bluemix.server.host) { -%>
-  host: <%= bluemix.server.host %>
-<% } else { -%>
-  random-route: true
-<% } -%>
-  memory: 384M
+- services:
+   - natural-language-classifier-service
+   - personality-insights-service
+   - tone-analyzer-service
+  name: social-customer-care
+  command: npm start
+  path: .
+  memory: 512M
   instances: 1
   timeout: 180
-  buildpack: sdk-for-nodejs
-  command: npm start
+  buildpack: sdk-for-nodejs