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Update README.md

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