chore: import upstream snapshot with attribution

tensorflow/lite/java/demo/README.md

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+# TF Lite Android Image Classifier App Example
+
+A simple Android example that demonstrates image classification using the camera.
+
+## Building in Android Studio with TensorFlow Lite AAR from MavenCentral.
+The build.gradle is configured to use TensorFlow Lite's nightly build.
+
+If you see a build error related to compatibility with Tensorflow Lite's Java API (example: method X is
+undefined for type Interpreter), there has likely been a backwards compatible
+change to the API. You will need to pull new app code that's compatible with the
+nightly build and may need to first wait a few days for our external and internal
+code to merge.
+
+## Building from Source with Bazel
+
+1. Follow the [Bazel steps for the TF Demo App](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#bazel):
+
+  1. [Install Bazel and Android Prerequisites](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#install-bazel-and-android-prerequisites).
+     It's easiest with Android Studio.
+
+      - You'll need at least SDK version 23.
+      - Make sure to install the latest version of Bazel. Some distributions
+        ship with Bazel 0.5.4, which is too old.
+      - Bazel requires Android Build Tools `28.0.0` or higher.
+      - You also need to install the Android Support Repository, available
+        through Android Studio under `Android SDK Manager -> SDK Tools ->
+        Android Support Repository`.
+
+  2. [Edit your `WORKSPACE`](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#edit-workspace)
+     to add SDK and NDK targets.
+
+     NOTE: As long as you have the SDK and NDK installed, the `./configure`
+     script will create these rules for you. Answer "Yes" when the script asks
+     to automatically configure the `./WORKSPACE`.
+
+      - Make sure the `api_level` in `WORKSPACE` is set to an SDK version that
+        you have installed.
+      - By default, Android Studio will install the SDK to `~/Android/Sdk` and
+        the NDK to `~/Android/Sdk/ndk-bundle`.
+
+2. Build the app with Bazel. The demo needs C++11:
+
+  ```shell
+  bazel build -c opt //tensorflow/lite/java/demo/app/src/main:TfLiteCameraDemo
+  ```
+
+3. Install the demo on a
+   [debug-enabled device](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#install):
+
+  ```shell
+  adb install bazel-bin/tensorflow/lite/java/demo/app/src/main/TfLiteCameraDemo.apk
+  ```