Update README.md

README.md

@@ -12,9 +12,9 @@ datasets:
 MobileCLIP was introduced in [MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
 ](https://arxiv.org/pdf/2311.17049.pdf) (CVPR 2024), by Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel.
 
-This repository contains the text and image encoders of all variants of MobileCLIP exported to Core ML.
+This repository contains the text and image encoders of all variants of MobileCLIP exported to Core ML. These Core ML models can be plugged-into the demo app provided in the official [MobileCLIP repo](https://github.com/apple/ml-mobileclip)
 
-![MobileCLIP Performance Figure](fig_accuracy_latency.png)
+<img src="mce_example.gif" width="240" height="540" />
 
 ### Highlights
 
@@ -32,8 +32,6 @@ This repository contains the text and image encoders of all variants of MobileCL
 | [MobileCLIP-B](https://hf.co/pcuenq/MobileCLIP-B)         |           13           |          86.3 + 63.4          |          10.4 + 3.3           |                76.8                 |                65.2                |
 | [MobileCLIP-B (LT)](https://hf.co/pcuenq/MobileCLIP-B-LT) |           36           |          86.3 + 63.4          |          10.4 + 3.3           |                77.2                 |                65.8                |
 
-These Core ML models can be plugged-into the demo app provided in the official [MobileCLIP repo](https://github.com/apple/ml-mobileclip)
-
 ## Download
 
 Install `huggingface-cli`