updated TF Lite models screenshots

PiperOrigin-RevId: 276904338 Change-Id: Ic1f5287e1ede2b94c272ef71b300ee8674a7840b
2019-10-26 21:15:58 -07:00 · 2019-10-26 21:15:58 -07:00 · 041ae08f82
commit 041ae08f82
parent 312e7ed667
6 changed files with 2 additions and 2 deletions
--- a/tensorflow/lite/g3doc/models/bert_qa/images/screenshot.gif
+++ b/tensorflow/lite/g3doc/models/bert_qa/images/screenshot.gif
--- a/tensorflow/lite/g3doc/models/smart_reply/images/smart_reply.gif
+++ b/tensorflow/lite/g3doc/models/smart_reply/images/smart_reply.gif
--- a/tensorflow/lite/g3doc/models/smart_reply/overview.md
+++ b/tensorflow/lite/g3doc/models/smart_reply/overview.md
@ -37,7 +37,7 @@ The on-device model comes with several benefits. It is:

 ## Example output

-<img alt="Animation showing smart reply" src="images/smart_reply.gif" />
+<img alt="Animation showing smart reply" src="images/smart_reply.gif" style="max-width: 300px"/>

 ## Read more about this

--- a/tensorflow/lite/g3doc/models/text_classification/images/screenshot.gif
+++ b/tensorflow/lite/g3doc/models/text_classification/images/screenshot.gif
--- a/tensorflow/lite/g3doc/models/text_classification/images/screenshot.png
+++ b/tensorflow/lite/g3doc/models/text_classification/images/screenshot.png
--- a/tensorflow/lite/g3doc/models/text_classification/overview.md
+++ b/tensorflow/lite/g3doc/models/text_classification/overview.md
@ -4,7 +4,7 @@ Use a pre-trained model to category a paragraph into predefined groups.

 ## Get started

-<img src="images/screenshot.png" class="attempt-right" style="max-width: 300px">
+<img src="images/screenshot.gif" class="attempt-right" style="max-width: 300px">

 If you are new to TensorFlow Lite and are working with Android, we recommend
 exploring the following example applications that can help you get started.