Cloud Natural Language API + Google App Engine + Firebase Demo WebApp.

• If you don’t already have one, create a Google Account.

• Create a Developers Console project.

  1. Install (or check that you have previously installed)
     • git
     • Python 2.7
     • Python pip
     • Google Cloud SDK
  2. Enable Project Billing
  3. Enable Natural Language API
  4. Enable Big Query API

1. Configure the gcloud command-line tool to use the project your Firebase project.

$ gcloud config set project <your-project-id>

2. Change directory to nl-bubble-master/

$ cd nl-bubble-master/

3. Install the Python dependencies

$ pip install -t lib -r requirements.txt

4. Create an App Engine App

$ gcloud app create

5. Deploy the application to App Engine.

$ gcloud app deploy app.yaml

1. Import Google Project(Add Firebase to a Google Project)

2. Update and publish security rules.

{
  "rules": {
    ".read": "auth == null",
    ".write": "auth == null"
  }
}

1. Create empty table.

Destination Table name  : bubbles.emotion
Schema Name/Type :
- message/STRING
- team/STRING
- score/FLOAT
- magnitude/FLOAT
Partitioning : None

Input your emotion.

https://<your-project-id>.appspot.com/

Access admin page to visualize positive/nagative emotions.

https://<your-project-id>.appspot.com/admin