update readme

Author: yadong-lu

README.md

@@ -12,6 +12,7 @@
 **OmniParser** is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements, which significantly enhances the ability of GPT-4V to generate actions that can be accurately grounded in the corresponding regions of the interface. 
 
 ## News
+- [2024/10] OmniParser is the #1 trending model on huggingface model hub (starting 10/29/2024). 
 - [2024/10] Feel free to checkout our demo on [huggingface space](https://huggingface.co/spaces/microsoft/OmniParser)! (stay tuned for OmniParser + Claude Computer Use)
 - [2024/10] Both Interactive Region Detection Model and Icon functional description model are released! [Hugginface models](https://huggingface.co/microsoft/OmniParser)
 - [2024/09] OmniParser achieves the best performance on [Windows Agent Arena](https://microsoft.github.io/WindowsAgentArena/)! 
@@ -40,6 +41,8 @@ To run gradio demo, simply run:
 python gradio_demo.py
 ```
 
+## Model Weights License
+For the model checkpoints on huggingface model hub, please note that icon_detect model is under AGPL license since it is a license inherited from the original yolo model. And icon_caption_blip2 & icon_caption_florence is under MIT license. Please refer to the LICENSE file in the folder of each model: https://huggingface.co/microsoft/OmniParser.
 
 ## 📚 Citation
 Our technical report can be found [here](https://arxiv.org/abs/2408.00203).

gradio_demo.py

@@ -14,6 +14,8 @@
 
 yolo_model = get_yolo_model(model_path='weights/icon_detect/best.pt')
 caption_model_processor = get_caption_model_processor(model_name="florence2", model_name_or_path="weights/icon_caption_florence")
+# caption_model_processor = get_caption_model_processor(model_name="blip2", model_name_or_path="weights/icon_caption_blip2")
+
 platform = 'pc'
 if platform == 'pc':
     draw_bbox_config = {