update README

README.md

@@ -27,6 +27,7 @@ OmAgent is python library for building multimodal language agents with ease. We
  - A flexible agent architecture that provides graph-based workflow orchestration engine and various memory type enabling contextual reasoning.  
  - Native multimodal interaction support include VLM models, real-time API, computer vision models, mobile connection and etc.   
  - A suite of state-of-the-art unimodal and multimodal agent algorithms that goes beyond simple LLM reasoning, e.g. ReAct, CoT, SC-Cot etc.   
+ - Supports local deployment of models. You can deploy your own models locally by using Ollama[Ollama](./docs/concepts/models/Ollama.md) or [LocalAI](./examples/video_understanding/docs/local-ai.md).
 
 
 ## 🛠️ How To Install
@@ -91,7 +92,11 @@ For more information about the container.yaml configuration, please refer to the
 
 ## 🤖  Example Projects
 ### 1. Video QA Agents
-Build a system that can answer any questions about uploaded videos with video understanding agents. See Details [here](examples/video_understanding/README.md).  
+Build a system that can answer any questions about uploaded videos with video understanding agents. we provide a gradio based application, see details [here](examples/video_understanding/README.md).  
+<p >
+  <img src="docs/images/video_understanding_gradio.png" width="500"/>
+</p>
+
 More about the video understanding agent can be found in [paper](https://arxiv.org/abs/2406.16620).
 <p >
   <img src="docs/images/OmAgent.png" width="500"/>

omagent-core/pyproject.toml

@@ -1,7 +1,7 @@
 
 [tool.poetry]
 name = "omagent_core"
-version = "0.2.2"
+version = "0.2.3"
 description = "Core package for OmAgent"
 authors = ["OM AI Lab <[email protected]>"]
 readme = "README.md"
@@ -49,6 +49,8 @@ gradio = "^5.7.1"
 tavily-python = "^0.5.0"
 opencv-python = "^4.10.0.84"
 wikipedia = "^1.4.0"
+func_timeout = "^4.3.5"
+sympy = "^1.13.3"
 
 [build-system]
 requires = ["poetry-core"]