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feat(genai): Add samples for video, batch prediction, vertexAI and image generation #5380
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feat(genai): Add samples for video, batch prediction, vertexAI and image generation #5380
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…into genai-video-vais-image-generation
…into genai-video-vais-image-generation
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Summary of Changes
Hello @cfloress, 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 expands the Go samples for the Google Cloud Generative AI SDK. It introduces new functionalities across various domains, including batch prediction capabilities with different data sources, advanced image generation techniques, and the ability to generate videos from diverse inputs. Additionally, it provides an example of integrating Vertex AI Search to enhance content generation with external knowledge.
Highlights
- Batch Prediction Samples: New samples have been added for batch prediction, demonstrating how to use the GenAI SDK with both Google Cloud Storage (GCS) for embeddings and general predictions, as well as BigQuery for input and output.
- Image Generation Samples: New image generation samples are included, showcasing advanced control types such as style reference, Canny edge detection, and Scribble for more precise image manipulation.
- Video Generation Samples: Samples for video generation have been added, illustrating how to generate videos from both text prompts and existing images.
- Vertex AI Search Integration: A new sample demonstrates the integration of Vertex AI Search, allowing the Gemini model to use external data stores for content generation.
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Code Review
This pull request adds a significant number of new GenAI samples for video generation, batch prediction, Vertex AI search, and image generation. The code is generally well-structured for samples. However, I've found several issues in the tests where placeholder URIs for GCS and BigQuery are used, which will cause the system tests to fail. I've also suggested some minor improvements for consistency in error handling in the batch prediction samples. Please review the detailed comments.
Description
Fixes #
Note: Before submitting a pull request, please open an issue for discussion if you are not associated with Google.
Checklist
go test -v ./..
(see Testing)gofmt
(see Formatting)go vet
(see Formatting)