Add custom (TensorFlow Lite) models support to the ML Kit feature #702

docs/ML_KIT.md

@@ -367,7 +367,7 @@ firebase.mlkit.landmarkrecognition.recognizeLandmarksCloud({
 
 [Firebase documentation 🌎](https://firebase.google.com/docs/ml-kit/use-custom-models)
 
-⚠️ Please take note of the following:
+⚠️ *Please take note of the following:*
 
 - Currently only models bundled with your app can be used (not ones hosted on Firebase). That may change in the future.
 - Prefix the `localModelFile` and `labelsFile` below with `~/` so they point to your `app/` folder. This is for future compatibility, because I'd like to support loading models from the native bundle as well.
@@ -398,13 +398,13 @@ firebase.mlkit.custommodel.useCustomModel({
 #### Live camera feed
 The basics are explained above for 'Text recognition'.
 
-Make sure to specify `modelInputShape` without the `[` and `]` characters.
-
 ```typescript
 import { registerElement } from "nativescript-angular/element-registry";
 registerElement("MLKitCustomModel", () => require("nativescript-plugin-firebase/mlkit/custommodel").MLKitCustomModel);
 ```
 
+> ⚠️ Make sure to specify `modelInputShape` without the `[` and `]` characters.
+
 ```html
 <MLKitCustomModel
     width="100%"