refactor(ml)!: cloud ML APIs removed upstream, use auth+functions+cloud ML

Firebase native SDKs no longer contain specific cloud APIs, the suggestion
is to use a serverless cloud function gateway with auth for user restriction,
to the Google Cloud APIs

Author: mikehardy

.spellcheck.dict.txt

@@ -123,6 +123,7 @@ SDK
 SDK.
 SDKs
 SDKs.
+serverless
 SHA1
 SHA-256
 SIGABRT

docs/ml/image-labeling.md

@@ -2,7 +2,7 @@
 title: ML
 description: Installation and getting started with ML.
 icon: //static.invertase.io/assets/firebase/ml-kit.svg
-next: /ml/text-recognition
+next: /remote-config/usage
 previous: /in-app-messaging/usage
 ---
 
@@ -22,35 +22,29 @@ yarn add @react-native-firebase/ml
 cd ios/ && pod install
 ```
 
+> **This package is mostly discontinued** since these APIs are no longer available in the latest Firebase SDKs.
+> To call the Cloud Vision API from your app the recommended approach is using Firebase
+> Authentication and Functions, which gives you a managed, serverless gateway to Google Cloud Vision APIs. For an example
+> Functions project see the [vision-annotate-images](https://github.com/firebase/functions-samples/tree/master/vision-annotate-images) sample project.
+
 If you're using an older version of React Native without autolinking support, or wish to integrate into an existing project,
 you can follow the manual installation steps for [iOS](/ml/usage/installation/ios) and [Android](/ml/usage/installation/android).
 
 # What does it do
 
-ML makes use of Firebase Machine Learning's [Text Recognition](https://firebase.google.com/docs/ml/recognize-text),
-[Image Labeling](https://firebase.google.com/docs/ml/label-images) & [Landmark Recognition](https://firebase.google.com/docs/ml/recognize-landmarks) features.
-
 All Firebase ML services are cloud-based, with on-device APIs handled by the new, separate [Google MLKit](https://developers.google.com/ml-kit/) (Usable in react-native
 as a set of [react-native-mlkit modules](https://www.npmjs.com/org/react-native-mlkit))
 
-<Youtube id="ejrn_JHksws" />
+Firebase has introduced a custom model downloading API, but the module does not have support for it yet. PRs always welcome!
 
 ## Support table
 
 The table below outlines the current module support for each available service, and their support status here
 
-| API                                                                               | Cloud Model |
-| --------------------------------------------------------------------------------- | ----------- |
-| [Text Recognition](https://firebase.google.com/docs/ml/recognize-text)            | ✅          |
-| [Document Text Recognition](https://firebase.google.com/docs/ml/recognize-text)   | ✅          |
-| [Image Labeling](https://firebase.google.com/docs/ml/label-images)                | ✅          |
-| [AutoML Vision Edge](https://firebase.google.com/docs/ml/automl-image-labeling)   | ❌          |
-| [Object Detection/Tracking](https://firebase.google.com/docs/ml/object-detection) | ❌          |
+| API                      | Status |
+| ------------------------ | ------ |
+| Custom Model Downloading | ❌     |
 
 # Usage
 
-To get started, you can find the documentation for the individual ML Kit services below:
-
-- [Text Recognition](/ml/text-recognition)
-- [Landmark Recognition](/ml/landmark-recognition)
-- [Image](/ml/image-labeling)
+Current no public APIs

docs/ml/landmark-recognition.md

@@ -3,7 +3,7 @@ title: Remote Config
 description: Installation and getting started with Remote Config.
 icon: //static.invertase.io/assets/firebase/remote-config.svg
 next: /perf/usage
-previous: /ml/image-labeling
+previous: /ml/usage
 ---
 
 # Installation

docs/ml/text-recognition.md

@@ -96,12 +96,6 @@
 - - ML
   - - - Usage
       - '/ml/usage'
-    - - Text Recognition
-      - '/ml/text-recognition'
-    - - Landmark Recognition
-      - '/ml/landmark-recognition'
-    - - Image Labeling
-      - '/ml/image-labeling'
   - '//static.invertase.io/assets/firebase/ml-kit.svg'
 - - Remote Config
   - - - Usage

docs/ml/usage/index.md

@@ -35,12 +35,13 @@ Pod::Spec.new do |s|
   end
 
   # Firebase dependencies
-  s.dependency          'Firebase/MLVision', firebase_sdk_version
+  # s.dependency          'Firebase/MLModelDownloader', firebase_sdk_version
 
   if defined?($RNFirebaseAsStaticFramework)
     Pod::UI.puts "#{s.name}: Using overridden static_framework value of '#{$RNFirebaseAsStaticFramework}'"
     s.static_framework = $RNFirebaseAsStaticFramework
   else
+    # raise "#{s.name}: Underlying Firebase/MLModelDownloader requires $RNFirebaseAsStaticFrameworks = true and !use_frameworks in your Podfile"
     s.static_framework = false
   end
 end

docs/remote-config/usage/index.md

@@ -11,7 +11,7 @@ buildscript {
     }
 
     dependencies {
-      classpath("com.android.tools.build:gradle:4.1.3")
+      classpath("com.android.tools.build:gradle:4.2.1")
     }
   }
 }
@@ -90,11 +90,7 @@ repositories {
 dependencies {
   api appProject
   implementation platform("com.google.firebase:firebase-bom:${ReactNative.ext.getVersion("firebase", "bom")}")
-  implementation "com.google.firebase:firebase-ml-vision"
-
-  implementation 'com.google.android.gms:play-services-vision:20.1.1'
-  implementation 'com.google.android.gms:play-services-vision-common:19.1.1'
-  implementation 'com.google.firebase:firebase-ml-model-interpreter:22.0.4'
+  implementation "com.google.firebase:firebase-ml-modeldownloader"
 }
 
 ReactNative.shared.applyPackageVersion()