fix figure rendering

Author: zehuiw

lite/examples/generative_ai/android/README.md

@@ -9,10 +9,10 @@ This example open sourced an Android app framework that any compatible TFLite LL
 *   In Figure 1, we used a Keras GPT-2 model to perform text completion tasks on device.
 *   In Figure 2, we converted a version of instruction-tuned [PaLM model](https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html) (1.5 billion parameters) to TFLite and executed through TFLite runtime.
 
-![Autocomplete with GPT-2](https://storage.googleapis.com/download.tensorflow.org/tflite/examples/autocomplete_fig1.gif){: width="300px"}
+![Autocomplete with GPT-2](https://storage.googleapis.com/download.tensorflow.org/tflite/examples/autocomplete_fig1.gif | width=300)
 <figcaption><b>Figure 1:</b>Example of running the Keras GPT-2 model (converted from this [Codelab](https://codelabs.developers.google.com/kerasnlp-tflite)) on device to perform text completion on Pixel 7. Demo shows the real latency with no speedup.</figcaption>
 
-![Autocomplete with PaLM](https://storage.googleapis.com/download.tensorflow.org/tflite/examples/autocomplete_fig2.gif){: width="300px"}
+![Autocomplete with PaLM](https://storage.googleapis.com/download.tensorflow.org/tflite/examples/autocomplete_fig2.gif | width=300)
  <figcaption><b>Figure 2:</b>Example of running a version of [PaLM model](https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html) with 1.5 billion parameters. Demo is recorded on Pixel 7 Pro without playback speedup.</figcaption>