-
Notifications
You must be signed in to change notification settings - Fork 780
Imagen Editing Solved #110
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
Summary of ChangesHello @madebymozart, 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 significantly advances the Imagen Editing sample application by completing its foundational implementation. It involves a comprehensive refactoring of the application's package structure for improved modularity and clarity. Crucially, the core image inpainting feature has been fully integrated, enabling the application to leverage Firebase AI's Imagen models for generating and editing images based on user-defined masks and textual prompts. This work transitions the sample from a skeletal structure to a functional demonstration of AI-powered image editing. Highlights
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
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
This pull request successfully implements the image editing features by completing the pending TODO items and refactoring the package structure for better organization. The core logic for image generation and inpainting is now in place. My review focuses on improving robustness, performance, and maintainability. I've identified a potential crash risk, a performance concern in the mask drawing implementation, a minor formatting issue, and a gap in error logging. The suggested changes will make the code more stable and easier to debug.
| editSteps = editSteps, | ||
| ), | ||
| ) | ||
| return imageResponse.images.first().asBitmap() |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Using .first() is not safe as it will throw a NoSuchElementException if the images list is empty, causing the app to crash. The API might return an empty list even on a successful response. Using firstOrNull() and then handling the null case by throwing a more descriptive exception is a more robust approach.
| return imageResponse.images.first().asBitmap() | |
| return imageResponse.images.firstOrNull()?.asBitmap() ?: throw IllegalStateException("Imagen API returned no images for inpainting.") |
| } catch (e: Exception) { | ||
| _uiState.value = ImagenEditingUIState.Error(e.localizedMessage ?: "An unknown error occurred during inpainting") | ||
| } |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The exception is caught and an error message is shown to the user, but the exception itself is not logged. This is often referred to as "swallowing an exception" and makes debugging failures very difficult because the stack trace and other details are lost. It's a best practice to always log the caught exception to aid in debugging.
} catch (e: Exception) {
Log.e("ImagenEditingViewModel", "An error occurred during inpainting", e)
_uiState.value = ImagenEditingUIState.Error(e.localizedMessage ?: "An unknown error occurred during inpainting")
}| (change.position.y - offsetY) / scale, | ||
| ) | ||
| it.lineTo(transformedChange.x, transformedChange.y) | ||
| currentPath = Path().apply { addPath(it) } |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Creating a new Path object on every drag event by calling Path().apply { addPath(it) } is inefficient and can lead to performance degradation and UI jank, as it allocates a new object on every move. This is a common workaround to trigger recomposition for mutable objects like Path that are not directly observable by Compose.
For better performance, consider a different state management strategy. For example, you could collect the Offsets in a mutableStateListOf during the drag gesture and then construct the Path once within the Canvas onDraw scope. This would avoid the rapid object allocation during the drag.
| } catch (e: Exception) { | ||
| _uiState.value = ImagenEditingUIState.Error(e.localizedMessage ?: "An unknown error occurred during inpainting") | ||
| } | ||
| } } |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
No description provided.