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@Guiners Guiners commented Aug 25, 2025

Description

Fixes #

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  • I have followed guidelines from CONTRIBUTING.MD and Samples Style Guide
  • Tests pass: npm test (see Testing)
  • Lint pass: npm run lint (see Style)
  • Required CI tests pass (see CI testing)
  • These samples need a new API enabled in testing projects to pass (let us know which ones)
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  • This pull request is from a branch created directly off of GoogleCloudPlatform/nodejs-docs-samples. Not a fork.
  • This sample adds a new sample directory, and I updated the CODEOWNERS file with the codeowners for this sample
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  • This sample adds a new Product API, and I updated the Blunderbuss issue/PR auto-assigner with the codeowners for this sample
  • Please merge this PR for me once it is approved

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@Guiners Guiners requested review from a team as code owners August 25, 2025 12:50
@product-auto-label product-auto-label bot added the samples Issues that are directly related to samples. label Aug 25, 2025
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Here is the summary of changes.

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Summary of Changes

Hello @Guiners, 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 new Node.js samples for Google Cloud's Generative AI, specifically focusing on advanced text generation capabilities. It adds examples for generating text from PDF documents and from multiple local image inputs, demonstrating how to interact with the Gemini model for these tasks.

Highlights

  • New Text Generation Sample (PDF): Introduces a new sample (textgen-code-with-pdf.js) demonstrating how to generate text content from a PDF file using the Gemini model.
  • New Text Generation Sample (Multi-Image): Adds a new sample (textgen-with-multi-local-img.js) showcasing text generation from multiple local image inputs, converting images to base64 for API calls.
  • Corresponding Tests: Includes new test files (textgen-code-with-pdf.test.js and textgen-with-multi-local-img.test.js) to validate the functionality of the newly added text generation samples.
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Code Review

This pull request introduces two new GenAI samples for text generation, one using a PDF and another with multiple local images, along with their corresponding tests. The sample code is well-structured. I've identified a couple of minor issues in the test files, including an incorrect test description and unnecessary async keywords on describe blocks, which should be addressed to improve code quality and clarity.

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LGTM

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