Real-Time Video-Storytelling As A Service

Requirements

bash terminal (although Windows / Mac OS can be used too with different commands)
gcloud (and python-app-engine using gcloud)
nvm (install node and npm using nvm)
Android SDK
adb (for installing android app in mobile device)

Installation Steps:

• Create google cloud project, get its PROJECT_ID *Enable Video Intelligence API for this project
• Create a firebase project associated with this project
• In Firebase Storage Website
  • Create firebase storage bucket with name STORAGE_NAME, this will contain all the videos recorded by user through the android application
  • Make public in rules

service firebase.storage {
  match /b/{bucket}/o {
    match /{allPaths=**} {
      allow read, write;
    }
  }
}

• In Firebase Realtime Database Website
  • Create a database in test mode (if creating for the first time)
  • Create two firebase realtime databases with names LABELS_DATABASE_NAME and STORIES_DATABASE_NAME, these two databases will hold labels generated by video-intelligence-labelling-service and stories generated by nltk-story-generation-service respectively
  • Make public in rules

{
  "rules": {
    ".read": true,
    ".write": true
  }
}

• In Firebase Project Settings Website
  • Go to service accounts
  • Generate new private key
  • Let the downloaded authorization file be called AUTH_FILE
• In appengine-services directory
  • Copy AUTH_FILE in /video-intelligence-labelling-service directory
  • Copy AUTH_FILE in /nltk-story-generation-service directory
  • In /video-intelligence-labelling-service/main.py, update STORAGE_NAME, LABELS_DATABASE_NAME and AUTH_FILE variables
  • In /nltk-story-generation-service/main.py, update STORIES_DATABASE_NAME and AUTH_FILE variables
  • Deploy these two services as a part of the same app engine project gcloud app deploy video-intelligence-labelling-service/app.yaml
    nltk-story-generation-service/app.yaml
  • video-intelligence-labelling-service will generate labels from videos it accesses from the STORAGE_NAME and store it in LABELS_DATABASE_NAME, while nltk-story-generation-service will generate story for these labels amd store it in STORIES_DATABASE_NAME. For the app engine project to interact successfully with firebase project, it needs AUTH_FILE
• In firebase-functions directory
  • In /functions/index.js, update variables PROJECT_NAME, STORAGE_NAME and LABELS_DATABASE_NAME
  • Use node version 8

   nvm install node 8
   nvm use 8

  • Install firebase-tools globally

   npm install -g firebase-tools

  • Login to to the firebase

   firebase login

  • Initialize firebase functions (choose N for file override, choose Y for installing npm dependencies)

   firebase init functions

  • Deploy firebase functions

   firebase deploy --only functions

  • These firebase functions, triggered by change in STORAGE_NAME and LABELS_DATABASE_NAME, make a RESTful API call to video-intelligence-labelling-service and nltk-story-generation-service respectively, passing them necessary information through query parameters
• In Firebase Authentication Website
  • Go to Sign-in method
  • Enable Anonymous for Sign-in providers, this is required since we are not asking users for authentication right now
• In Project Overview Website
  • Click on android icon in “Add an app to get started”
  • Enter android package name as “com.cloud.videostorytelling”
  • Click on Register app
  • Click on “Download google-services.json”, this is our config file for android project
  • Click on X icon to quit out of the steps
• In android-app directory
  • Copy “google-services.json” to /app directory
  • In /app/src/main/java/com/cloud/videostorytelling/Camera2VideoFragment.java, update STORAGE_NAME, LABELS_DATABASE_NAME and STORIES_DATABASE_NAME.
  • Run the following bash command bash gradlew clean build
  • Connect Android OS based mobile device to the system through USB cable and run the following bash command

   adb install ./app/build/outputs/apk/debug/app-debug.apk

Contributors and Team Members:

1. Jay Shah (@jaygshah)
2. Aditya Govardhan (@AdityaGovardhan)
3. Kunal Suthar (@Kunal30)