Minimal Changes to Colab Notebook

README.md

@@ -18,24 +18,23 @@ Understanding human behavior requires measuring behavioral actions. Due to its c
 - This repository contains the implementation for our preprint on evaluating and training multi-modal large language models for action recognition. 
 - Our code is built on [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT), and files in the directory `llavaction/action` are related to our work. We thank the authors of LLaVA-NeXT for making their code publicly available.
 - The files in the `/eval`, `/model`, `/serve` and `/train` are directly from [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT), unless modified and noted below.
-- Modified files are:
-  - - /model/llava_arch.py
-  - - /model/language_model/llava_qwen.py
-  - - /train/train.py
-  - - /train/llava_trainer.py
-  - - /utils.py
-  - - A diff can be generated against the commit (79ef45a6d8b89b92d7a8525f077c3a3a9894a87d) of LLaVA-NeXT to see our modifications.
+  - `/model/llava_arch.py`  
+  - `/model/language_model/llava_qwen.py`  
+  - `/train/train.py`  
+  - `/train/llava_trainer.py`  
+  - `/utils.py` 
 
 ## Demo 
-- Currently, we provide code to run video inference in a Jupyter Notebook (which can be run on Google Colaboratory).
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AdaptiveMotorControlLab/LLaVAction/blob/main/example/llavaction_video_demo.ipynb)
+ We provide code to run video inference in a Jupyter Notebook (which can be run on Google Colaboratory).
 
 
 ### Installation guide for video inference:
 ```bash
 conda create -n llavaction python=3.10 -y
 conda activate llavaction
 pip install --upgrade pip  # Enable PEP 660 support.
-pip install -e .
+pip install --pre llavaction
 ```
 
 - Please see the `/example` directory for a demo notebook.