Build a Screen Parsing with GPT-4o Vision and OmniParser

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:

1. Capture screenshot: utilize PyAutoGUI to take a screenshot of the current screen state.
2. Parse screenshot: send the screenshot to OmniParser for analysis.
3. Task Request: query LLM GPT-4o Vision with a specific task, such as locking the computer.
4. Evaluate Task Completion: receive the result from LLM GPT-4o and determine if the task is complete.
5. 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.
6. Iteration: If the task is not complete, repeat the process from step 1.

Flow Diagram

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!