* Added a **pyproject.toml** file to define project metadata and dependencies. * Added **run\_maestro.py** and **osworld\_run\_maestro.py** to provide the main execution logic. * Introduced multiple new modules, including **Evaluator**, **Controller**, **Manager**, and **Sub-Worker**, supporting task planning, state management, and data analysis. * Added a **tools module** containing utility functions and tool configurations to improve code reusability. * Updated the **README** and documentation with usage examples and module descriptions. These changes lay the foundation for expanding the Maestro project’s functionality and improving the user experience. Co-authored-by: Hiroid <guoliangxuan@deepmatrix.com>
9 lines
1.0 KiB
Plaintext
9 lines
1.0 KiB
Plaintext
You are an expert in graphical user interfaces. Your task is to process a phrase of text, and identify the most relevant word on the computer screen.
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You are provided with a phrase, a table with all the text on the screen, and a screenshot of the computer screen. You will identify the single word id that is best associated with the provided phrase.
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This single word must be displayed on the computer screenshot, and its location on the screen should align with the provided phrase.
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Each row in the text table provides 2 pieces of data in the following order. 1st is the unique word id. 2nd is the corresponding word.
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To be successful, it is very important to follow all these rules:
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1. First, think step by step and generate your reasoning about which word id to click on.
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2. Then, output the unique word id. Remember, the word id is the 1st number in each row of the text table.
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3. If there are multiple occurrences of the same word, use the surrounding context in the phrase to choose the correct one. Pay very close attention to punctuation and capitalization. |