feat(genai): add text generation samples (5)

[jdomingr]

Add new text generation samples:

• Generate text with Google storage video
• Generate text with YouTube video

All local tests have passed

[snippet-bot]

Here is the summary of changes.

You are about to add 2 region tags.

• genai/api/GenAI.Samples/TextGeneration/TextGenWithVideo.cs:17, tag googlegenaisdk_textgen_with_video
• genai/api/GenAI.Samples/TextGeneration/TextGenWithYoutubeVideo.cs:17, tag googlegenaisdk_textgen_with_youtube_video

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[gemini-code-assist]

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 samples by introducing two new text generation functionalities that leverage video input. One sample processes videos from Google Cloud Storage to provide summaries and chapter breakdowns, while the other generates a blog post from a YouTube video, expanding the capabilities of the GenAI SDK for multimodal content analysis.

Highlights

• New Text Generation Sample (Google Cloud Storage Video): Added a new sample demonstrating how to generate text from a video stored in Google Cloud Storage, including summarization and chapter breakdown.
• New Text Generation Sample (YouTube Video): Introduced a new sample that showcases text generation from a YouTube video, specifically creating a blog post based on its content.
• Unit Tests: Included corresponding Xunit tests for both new text generation samples to ensure their functionality and output.

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[gemini-code-assist]

Code Review

This pull request adds two new text generation samples demonstrating how to use videos from Google Cloud Storage and YouTube as input. The implementation is straightforward and the accompanying tests are adequate for these examples. My main feedback is to improve the robustness of the response handling. Currently, the code is susceptible to an IndexOutOfRangeException if the API returns no candidates. I've suggested using the idiomatic GetText() extension method provided by the library to safely handle the response, making the samples more resilient.