update README.md about uploading files (#96)

README.md

@@ -64,7 +64,7 @@ Our vision is to revolutionize how AI agents collaborate to solve real-world tas
 - [📋 Table of Contents](#-table-of-contents)
 - [🔥 News](#-news)
 - [🎬 Demo Video](#-demo-video)
-- [✨️ Core Features](#-code-features)
+- [✨️ Core Features](#-core-features)
 - [🛠️ Installation](#️-installation)
   - [**Clone the Github repository**](#clone-the-github-repository)
   - [**Set up Environment**](#set-up-environment)
@@ -172,6 +172,21 @@ answer, chat_history, token_count = run_society(society)
 logger.success(f"Answer: {answer}")
 ```
 
+For uploading files, simply provide the file path along with your question:
+
+```python
+# Task with a local file (e.g., file path: `tmp/example.docx`)
+question = "What is in the given DOCX file? Here is the file path: tmp/example.docx"
+
+society = construct_society(question)
+answer, chat_history, token_count = run_society(society)
+
+logger.success(f"Answer: {answer}")
+```
+
+OWL will then automatically invoke document-related tools to process the file and extract the answer.
+
+
 Example tasks you can try:
 - "Find the latest stock price for Apple Inc."
 - "Analyze the sentiment of recent tweets about climate change"

README_zh.md

@@ -166,7 +166,7 @@ answer, chat_history, token_count = run_society(society)
 logger.success(f"Answer: {answer}")
 ```
 
-上传文件时，只需在问题中额外提供文件路径：
+上传文件时，只需提供文件路径和问题：
 
 ```python
 # 处理本地文件（例如，文件路径为 `tmp/example.docx`）
@@ -177,6 +177,10 @@ answer, chat_history, token_count = run_society(society)
 
 logger.success(f"答案：{answer}")
 ```
+
+OWL 将自动调用与文档相关的工具来处理文件并提取答案。
+
+
 OWL 将自动调用与文档相关的工具来处理文件并提取答案。
 
 你可以尝试以下示例任务：
@@ -184,6 +188,7 @@ OWL 将自动调用与文档相关的工具来处理文件并提取答案。
 - "分析关于气候变化的最新推文情绪"
 - "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]"
+- 
 # 🧪 实验
 
 我们提供了一个脚本用于复现 GAIA 上的实验结果。