Use Nano to generate image description

[calren]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @calren, 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 updates the application's integration with Gemini Nano, migrating from an older AI Edge library to the latest ML Kit for GenAI library. This change streamlines the process of downloading and utilizing the Gemini Nano model for on-device image description and validation. The new implementation introduces remote configuration for managing Nano-specific prompts and model versions, and intelligently falls back to Firebase AI if Nano is unavailable or unsuccessful, ensuring robust image processing capabilities.

Highlights

• ML Kit GenAI Migration: The Gemini Nano integration has been migrated from the older com.google.ai.edge.aicore library to the newer com.google.mlkit:genai-prompt (ML Kit for GenAI) library, updating dependencies across the project.
• Refactored Gemini Nano Model Downloading: The Gemini Nano model downloading logic has been refactored and is now managed asynchronously via androidx.startup using a new GeminiNanoDownloaderInitializer, removing explicit initialize() calls from view models and repositories.
• Dynamic Image Description and Validation: The ImageGenerationRepository now conditionally uses Gemini Nano for image validation and description generation. If Nano is enabled and successful, its results are used; otherwise, it intelligently falls back to Firebase AI for robust image processing.
• New Remote Configuration for Nano Prompts: New remote configuration parameters have been introduced for Gemini Nano-specific image validation and description prompts, allowing for flexible management of the on-device model's behavior and supported versions.
• Improved Test Coverage: New unit tests have been added for the ImageGenerationRepository to specifically cover the image description logic, including scenarios where Gemini Nano is enabled, disabled, or not yet downloaded.

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[gemini-code-assist]

Code Review

This pull request is a significant and well-executed refactoring to integrate Gemini Nano for image description generation, migrating from the older ai.edge library to the new genai.prompt library. The use of androidx.startup.Initializer for handling the model download at startup is a great improvement. The fallback logic to Firebase AI when Nano is unavailable or fails is robust. I've added a few suggestions to improve dependency management, prevent potential crashes, and optimize performance by reducing redundant operations. Overall, this is a solid contribution that modernizes the AI integration in the app.