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Wendong
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@@ -73,6 +73,7 @@ Our vision is to revolutionize how AI agents collaborate to solve real-world tas
- [**Running with Docker**](#running-with-docker)
- [🚀 Quick Start](#-quick-start)
- [🌐 Web Interface](#-web-interface)
- [🧪 Experiments](#-experiments)
- [⏱️ Future Plans](#-future-plans)
- [📄 License](#-license)
@@ -228,6 +229,23 @@ Example tasks you can try:
- "Help me debug this Python code: [your code here]"
- "Summarize the main points from this research paper: [paper URL]"
# 🌐 Web Interface
OWL now includes a web-based user interface that makes it easier to interact with the system. To start the web interface, run:
```bash
python run_app.py
```
The web interface provides the following features:
- **Easy Model Selection**: Choose between different models (OpenAI, Qwen, DeepSeek, etc.)
- **Environment Variable Management**: Configure your API keys and other settings directly from the UI
- **Interactive Chat Interface**: Communicate with OWL agents through a user-friendly interface
- **Task History**: View the history and results of your interactions
The web interface is built using Gradio and runs locally on your machine. No data is sent to external servers beyond what's required for the model API calls you configure.
# 🧪 Experiments
We provided a script to reproduce the results on GAIA.

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- [**设置环境变量**](#设置环境变量)
- [**使用Docker运行**](#使用docker运行)
- [🚀 快速开始](#-快速开始)
- [🌐 网页界面](#-网页界面)
- [🧪 实验](#-实验)
- [⏱️ 未来计划](#-未来计划)
- [📄 许可证](#-许可证)
@@ -223,6 +224,23 @@ OWL 将自动调用与文档相关的工具来处理文件并提取答案。
- "帮我调试这段 Python 代码:[在此粘贴你的代码]"
- "总结这篇研究论文的主要观点:[论文URL]"
# 🌐 网页界面
OWL 现在包含一个基于网页的用户界面,使与系统交互变得更加容易。要启动网页界面,请运行:
```bash
python run_app.py
```
网页界面提供以下功能:
- **便捷的模型选择**选择不同的模型OpenAI、Qwen、DeepSeek等
- **环境变量管理**直接从界面配置API密钥和其他设置
- **交互式聊天界面**通过用户友好的界面与OWL智能体交流
- **任务历史**:查看交互的历史记录和结果
网页界面使用Gradio构建在您的本地机器上运行。除了您配置的模型API调用所需的数据外不会向外部服务器发送任何数据。
# 🧪 实验
我们提供了一个脚本用于复现 GAIA 上的实验结果。