Project import generated by Copybara.

PiperOrigin-RevId: 346441329
Change-Id: I91bcecc05d3de4e3999b3fed5a2cf2ba40798be9

Author: Google ML Kit

ios/quickstarts/entityextraction/EntityExtractionExampleObjC/EntityViewController.m

@@ -17,7 +17,6 @@
 #import "EntityViewController.h"
 #import "MLKEntityExtractionModelIdentifier+Extensions.h"
 
-// TODO(mikie/bauerb): migrate to MLKit umbrella header on public release.
 @import MLKitCommon;
 @import MLKitEntityExtraction;
 

ios/quickstarts/entityextraction/EntityExtractionExampleObjC/ModelManagementViewController.m

@@ -82,15 +82,15 @@ - (UITableViewCell *)tableView:(UITableView *)tableView
   MLKEntityExtractionModelIdentifier language = self.languages[indexPath.row];
   NSString *code = MLKEntityExtractionLanguageTagForModelIdentifier(language);
   cell.textLabel.text = [NSLocale.currentLocale localizedStringForLanguageCode:code];
-#if defined(__IPHONE_13_0) && __IPHONE_OS_VERSION_MAX_ALLOWED >= __IPHONE_13_0
-  if ([self.downloadedLanguages containsObject:language]) {
-    cell.imageView.image = [UIImage systemImageNamed:@"trash.circle"];
+  if (@available(iOS 13.0, *)) {
+    if ([self.downloadedLanguages containsObject:language]) {
+      cell.imageView.image = [UIImage systemImageNamed:@"trash.circle"];
+    } else {
+      cell.imageView.image = [UIImage systemImageNamed:@"icloud.and.arrow.down"];
+    }
   } else {
-    cell.imageView.image = [UIImage systemImageNamed:@"icloud.and.arrow.down"];
+    // TODO(mikie): status indicator on iOS < 13
   }
-#else   // __IPHONE_OS_VERSION_MAX_ALLOWED < __IPHONE_13_0
-  // TODO(mikie): status indicator on iOS < 13
-#endif  // __IPHONE_OS_VERSION_MAX_ALLOWED >= __IPHONE_13_0
   return cell;
 }
 

ios/quickstarts/entityextraction/README.md

@@ -1,19 +1,57 @@
 # ML Kit Entity Extraction Quickstart
 
-The ML Kit Entity Extraction iOS Quickstart app demonstrates how to use the
-Entity Extraction feature of ML Kit to recognize structured data in
-text.
+* [Read more about ML Kit Entity Extraction API](https://developers.google.com/ml-kit/language/entity-extraction)
 
 ## Introduction
 
-TODO(mikie/bhaktipriya): add link to public docs.
+The ML Kit Entity Extraction iOS Quickstart app demonstrates how to use the ML
+Kit Entity Extraction feature to recognize structured data in text.
+
+This app requires network connectivity in order to download the corresponding
+language model.
 
 ## Getting Started
 
--   Needs XCode 11.3.1 or above.
+-   Needs XCode 11.7 or above.
 -   Run the sample on your iOS device or simulator.
 -   Type input text and change languages to see entity extraction in action.
 
+## How to use the app
+
+-   Enter text in the input box and hit "done" on your keyboard.
+-   If any entities are found in the text, they will show up on the bottom half
+of the screen.
+-   Click the "Models" button in the bottom right corner to ensure the correct
+language model has been downloaded.
+
+### Examples
+
+<table>
+<tr><th>Input text</th><th>Detected entities</th></tr>
+
+<tr><td>You can contact the test team <b>tomorrow</b> at <b>[email protected]</b>
+to determine the best timeline.</td>
+<td>Entity 1 type: Date-Time<br>
+Entity 1 text: = "2020-12-09 00:00:00"<br><br>
+
+Entity 2 type: Email address<br>
+Entity 2 text: [email protected]</td></tr>
+
+<tr><td>Your order has shipped from Google. To follow the progress of your
+delivery please use this tracking number: <b>9612804152073070474837</b></td>
+<td>Entity type: Tracking number<br>
+Entity text: "FedEx 9612804152073070474837"</td></tr>
+
+<tr><td>Call the restaurant at <b>555-555-1234</b> to pay for dinner. My card
+number is <b>4111 1111 1111 1111</b>.</td>
+<td>Entity 1 type: Phone number<br>
+Entity 1 text: "555-555-1234"<br><br>
+
+Entity 2 type: Payment card<br>
+Entity 2 text: "Visa 4111 1111 1111 1111"</td></tr>
+
+</table>
+
 ## Support
 
 -   [Stack Overflow](https://stackoverflow.com/questions/tagged/google-mlkit)