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README.md

@@ -7,7 +7,7 @@ tags:
 
 ---
 
-![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openpose/web-assets/banner.png)
+![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openpose/web-assets/model_demo.png)
 
 # OpenPose: Optimized for Mobile Deployment
 ## Human pose estimation
@@ -184,9 +184,23 @@ With the output of the model, you can compute like PSNR, relative errors or
 spot check the output with expected output.
 
 **Note**: This on-device profiling and inference requires access to Qualcomm®
-AI Hub. [Sign up for early access](https://aihub.qualcomm.com/sign-up).
+AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
 
 
+## Run demo on a cloud-hosted device
+
+You can also run the demo on-device.
+
+```bash
+python -m qai_hub_models.models.openpose.demo --on-device
+```
+
+**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
+environment, please add the following to your cell (instead of the above).
+```
+%run -m qai_hub_models.models.openpose.demo -- --on-device
+```
+
 
 ## Deploying compiled model to Android