Build a Screen Parsing with GPT-4o Vision and OmniParser
7 min readDec 8, 2024
In this tutorial, we’ll explore building a screen parsing agent using GPT-4o and OmniParser. Our goal is to demonstrate locking a computer, specifically a MacOS device, using this agent.
Here’s a step-by-step breakdown of the process:
- Capture screenshot: utilize PyAutoGUI to take a screenshot of the current screen state.
- Parse screenshot: send the screenshot to OmniParser for analysis.
- Task Request: query LLM GPT-4o Vision with a specific task, such as locking the computer.
- Evaluate Task Completion: receive the result from LLM GPT-4o and determine if the task is complete.
- Conditional Action:
- If the task is incomplete, use PyAutoGUI to move the cursor to a specific screen coordinate and simulate a click.
- If the task is complete, terminate the flow. - Iteration: If the task is not complete, repeat the process from step 1.
Parse Screenshot: Implementation for OmniParser Integration
To mitigate high memory usage issues encountered during multiple iterations, I have deployed FastAPI to host the parsing code. If you have alternative solutions or suggestions, please feel free to share!