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@jdomingr jdomingr commented Oct 14, 2025

Description

Add new video generation samples:

  • video generation with image
  • video generation with text

Checklist

  • I have followed Sample Format Guide
  • Tests pass: mvn clean verify required
  • Lint passes: mvn -P lint checkstyle:check required
  • Static Analysis: mvn -P lint clean compile pmd:cpd-check spotbugs:check advisory only
  • Please merge this PR for me once it is approved

@jdomingr jdomingr requested review from a team and yoshi-approver as code owners October 14, 2025 16:23
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snippet-bot bot commented Oct 14, 2025

Here is the summary of changes.

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@product-auto-label product-auto-label bot added the samples Issues that are directly related to samples. label Oct 14, 2025
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Summary of Changes

Hello @jdomingr, 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 enhances the GenAI snippets by adding new Java samples for video generation. The samples cover generating videos from an image combined with a text prompt, and from a text prompt alone. These additions aim to provide clear, functional examples for developers looking to integrate video generation features, complete with robust integration tests to verify their operation and manage generated cloud resources.

Highlights

  • New Video Generation Samples: Introduced two new Java samples demonstrating video generation capabilities using the Google GenAI SDK.
  • Video Generation with Image: Added a sample (VideoGenWithImg.java) that showcases how to generate a video using both an input image and a text prompt.
  • Video Generation with Text: Added a sample (VideoGenWithTxt.java) that demonstrates generating a video solely from a text prompt.
  • Integration Tests: Included comprehensive integration tests (VideoGenerationIT.java) to validate the functionality of both new video generation samples, ensuring proper environment setup and resource cleanup in Google Cloud Storage.
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Summary of Changes

Hello @jdomingr, 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 enhances the GenAI snippets by adding new Java code examples for video generation. It provides practical demonstrations of how to leverage the Google GenAI SDK to create videos from either an image combined with a text prompt or from a text prompt alone. The samples include necessary client initialization, video generation calls, and polling for operation completion, alongside robust integration tests to validate the new features.

Highlights

  • New Video Generation Samples: Introduced two new Java samples demonstrating video generation capabilities: one for generating video from an image and a text prompt, and another for generating video solely from a text prompt.
  • Integration Tests: Added comprehensive integration tests for both new video generation samples to ensure their functionality and proper interaction with Google Cloud Storage for output.
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The 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 /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
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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.

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Code Review

This pull request introduces new samples for video generation with and without an image prompt, along with corresponding integration tests. The code is generally well-written and follows good practices for sample code. My review includes suggestions to enhance error handling in the video generation logic to provide more descriptive error messages upon failure, and to strengthen the assertions in the integration tests for more robust validation.

@cfloress
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LGTM

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