remove JackOptions block.

PiperOrigin-RevId: 228388690

tensorflow/lite/g3doc/demo_ios.md

@@ -7,22 +7,23 @@ instructions walk you through building and running the demo on an iOS device.
 
 ## Prerequisites
 
-* You must have [Xcode](https://developer.apple.com/xcode/) installed and have a
+*   You must have [Xcode](https://developer.apple.com/xcode/) installed and have
-  valid Apple Developer ID, and have an iOS device set up and linked to your
+    a valid Apple Developer ID, and have an iOS device set up and linked to your
-  developer account with all of the appropriate certificates. For these
+    developer account with all of the appropriate certificates. For these
-  instructions, we assume that you have already been able to build and deploy an
+    instructions, we assume that you have already been able to build and deploy
-  app to an iOS device with your current developer environment.
+    an app to an iOS device with your current developer environment.
 
-* The demo app requires a camera and must be executed on a real iOS device. You
+*   The demo app requires a camera and must be executed on a real iOS device.
-  can build it and run with the iPhone Simulator but it won't have any camera
+    You can build it and run with the iPhone Simulator but it won't have any
-  information to classify.
+    camera information to classify.
 
-* You don't need to build the entire TensorFlow library to run the demo, but you
+*   You don't need to build the entire TensorFlow library to run the demo, but
-  will need to clone the TensorFlow repository if you haven't already:
+    you will need to clone the TensorFlow repository if you haven't already:
 
         git clone https://github.com/tensorflow/tensorflow
+        cd tensorflow
 
-* You'll also need the Xcode command-line tools:
+*   You'll also need the Xcode command-line tools:
 
         xcode-select --install
 
@@ -31,35 +32,41 @@ instructions walk you through building and running the demo on an iOS device.
 
 ## Building the iOS Demo App
 
-1. Install CocoaPods if you don't have it:
+1.  Install CocoaPods if you don't have it:
 
         sudo gem install cocoapods
 
-2. Download the model files used by the demo app (this is done from inside the
+2.  Download the model files used by the demo app (this is done from inside the
-   cloned directory):
+    cloned directory):
 
         sh tensorflow/lite/examples/ios/download_models.sh
 
-3. Install the pod to generate the workspace file:
+3.  Install the pod to generate the workspace file:
 
         cd tensorflow/lite/examples/ios/camera
         pod install
 
     If you have installed this pod before and that command doesn't work, try
 
-        pod update
+        pod repo update
 
-    At the end of this step you should have a file called 
+    At the end of this step you should have a file called
     `tflite_camera_example.xcworkspace`.
 
-4. Open the project in Xcode by typing this on the command line:
+4.  Open the project in Xcode by typing this on the command line:
 
         open tflite_camera_example.xcworkspace
 
     This launches Xcode if it isn't open already and opens the
     `tflite_camera_example` project.
 
-5. Build and run the app in Xcode.
+5.  Under `Project navigator -> tflite_camera_example -> Targets ->
+    tflite_camera_example -> General` change the bundle identifier by
+    pre-pending your name:
+
+    ![pre-pend your name to the bundle identifier](images/ios/bundle_identifier.png)
+
+6.  Build and run the app in Xcode.
 
     Note that as mentioned earlier, you must already have a device set up and
     linked to your Apple Developer account in order to deploy the app on a