[Misc] refactor example - openai_transcription_client

[reidliu41]

Essential Elements of an Effective PR Description Checklist

• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
• The test results, such as pasting the results comparison before and after, or e2e results
• (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

Purpose

• move to main() and keep the style with the other examples
• add the description and comments

Test Plan

Test Result

(Optional) Documentation Update

[github-actions]

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[gemini-code-assist]

Summary of Changes

Hello @reidliu41, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on improving the maintainability and readability of the openai_transcription_client.py example script. The primary changes involve restructuring the script's entry point to follow standard Python conventions and significantly enhancing its documentation through detailed docstrings, making it easier for users and future contributors to understand and utilize.

Highlights

• Code Structure Refinement: The script's main execution logic has been encapsulated within a main() function, and the standard if __name__ == "__main__": block has been added. This improves the script's reusability and aligns its structure with common Python best practices and other examples in the repository.
• Enhanced Documentation: A comprehensive module-level docstring has been added to examples/online_serving/openai_transcription_client.py, providing a clear overview of the script's purpose, prerequisites, and how to run the vLLM server. Additionally, docstrings have been added to the sync_openai() and stream_openai_response() functions to explain their specific functionalities.
• Output Formatting Improvement: A minor adjustment was made to ensure a final newline character is printed after the streaming transcription output, improving readability in the console.

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[gemini-code-assist]

Code Review

This pull request refactors the openai_transcription_client.py example script. The main changes include:

• Comprehensive Documentation: Addition of a module-level docstring explaining the script's purpose, setup, requirements, and functionality. Docstrings were also added to the sync_openai and stream_openai_response functions, enhancing code readability and maintainability.
• Structural Improvements: The script's execution logic has been encapsulated within a main() function, invoked via the standard if __name__ == "__main__": guard. This is a common Python best practice that improves script organization.
• Usability Enhancement: A print() statement was added after the streaming transcription to ensure the command prompt appears on a new line, improving the CLI user experience.

Overall, these changes significantly improve the example script's clarity, maintainability, and adherence to common Python coding standards (like PEP 8 and PEP 257 for docstrings). The refactoring makes the example more robust and easier to understand for users.

No issues of medium, high, or critical severity were identified in the provided code changes.

One minor process note: the PR description checklist (Essential Elements of an Effective PR Description Checklist) is mostly unfilled. For future PRs, especially more complex ones, filling out sections like 'Test Plan' and 'Test Result' (even if briefly for examples, e.g., "Manually executed script, confirmed output matches expectations") would be beneficial for reviewers and project history.

[reidliu41]

@DarkLight1337 could you please help to take a look if you have time? thanks