Conversation
Summary of ChangesHello @thisisiron, 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 introduces a minor but impactful change by refining the project's description within the Highlights
🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console. Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
There was a problem hiding this comment.
Code Review
This pull request shortens the project description in setup.py by replacing 'vision language models' with the acronym 'VLMs'. While this is a minor change, I've suggested reverting it. The short description is what users first see on package repositories like PyPI, and using the full, descriptive term enhances clarity for a wider audience who may not be familiar with the acronym. This helps in making the project's purpose immediately understandable.
| version="0.0.2", | ||
| author="Vision Token Calculator", | ||
| description="Calculate the number of tokens used for images in vision language models", | ||
| description="Calculate the number of tokens used for images in VLMs", |
There was a problem hiding this comment.
While 'VLMs' is a common acronym in the field and is defined in the README.md, the description field in setup.py is often displayed in package listings on PyPI where context is limited. Using the full phrase 'vision language models' is more explicit and improves clarity for a broader audience who might not be familiar with the acronym. It's generally best practice to be as descriptive as possible in this field to maximize discoverability and understanding.
| description="Calculate the number of tokens used for images in VLMs", | |
| description="Calculate the number of tokens used for images in vision language models", |
|
/style |
|
The code is already clean (or no changes detected). |
1 similar comment
|
The code is already clean (or no changes detected). |
|
/style |
|
The code is already clean (or no changes detected). |
|
/style |
|
The code is already clean (or no changes detected). |
|
/style |
|
The code is already clean (or no changes detected). |
|
/style |
|
The code is already clean (or no changes detected). |
1 participant
Test Workflows