Update README.md

README.md

@@ -19,11 +19,11 @@ The model only takes images as document-side inputs and produce vectors represen
 
 # News
 
-- 2024-07-14: We released huggingface demo! Try our [online demo](https://huggingface.co/spaces/bokesyo/minicpm-visual-embeeding-v0-demo)!
+- 2024-07-14: We released **huggingface demo**! Try our [online demo](https://huggingface.co/spaces/bokesyo/minicpm-visual-embeeding-v0-demo)!
 
-- 2024-07-14: We released a Gradio demo of `miniCPM-visual-embedding-v0`, take a look at [pipeline_gradio.py](https://huggingface.co/RhapsodyAI/minicpm-visual-embedding-v0/blob/main/pipeline_gradio.py). You can run `pipeline_gradio.py` to build a demo on your PC.
+- 2024-07-14: We released a **Gradio demo** of `miniCPM-visual-embedding-v0`, take a look at [pipeline_gradio.py](https://huggingface.co/RhapsodyAI/minicpm-visual-embedding-v0/blob/main/pipeline_gradio.py). You can run `pipeline_gradio.py` to build a demo on your PC.
 
-- 2024-07-13: We released a command-line based demo of `miniCPM-visual-embedding-v0` for users to retireve most relavant pages from a given PDF file (could be very long), take a look at [pipeline.py](https://huggingface.co/RhapsodyAI/minicpm-visual-embedding-v0/blob/main/pipeline.py).
+- 2024-07-13: We released a **command-line based demo** of `miniCPM-visual-embedding-v0` for users to retireve most relavant pages from a given PDF file (could be very long), take a look at [pipeline.py](https://huggingface.co/RhapsodyAI/minicpm-visual-embedding-v0/blob/main/pipeline.py).
 
 - 2024-06-27: 🚀 We released our first visual embedding model checkpoint minicpm-visual-embedding-v0 on [huggingface](https://huggingface.co/RhapsodyAI/minicpm-visual-embedding-v0).
 
@@ -56,6 +56,15 @@ or
 huggingface-cli download --resume-download RhapsodyAI/minicpm-visual-embedding-v0 --local-dir minicpm-visual-embedding-v0 --local-dir-use-symlinks False
 ```
 
+- To deploy a local demo, first check `pipeline_gradio.py`, change *model path* to your local path and change *device* to your device (for users with Nvidia card, use 'cuda', for users with apple silicon, use 'mps'). then launch the demo:
+
+```bash
+pip install gradio
+python pipeline_gradio.py
+```
+
+- To run the model for research purpose, please refer the following code:
+
 ```python
 from transformers import AutoModel
 from transformers import AutoTokenizer
@@ -96,7 +105,7 @@ print(scores)
 
 # Todos
 
-- Release huggingface space demo.
+- [x] Release huggingface space demo.
 
 - Release the evaluation results.