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@Guiners Guiners commented Oct 10, 2025

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Fixes #

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@Guiners Guiners requested review from a team as code owners October 10, 2025 11:55
@product-auto-label product-auto-label bot added the samples Issues that are directly related to samples. label Oct 10, 2025
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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 significantly expands the Generative AI SDK samples by introducing several new "live" interaction examples. These additions cover real-time audio-to-text and text-to-audio generation, full audio conversations with transcription capabilities, and the integration of Retrieval Augmented Generation (RAG) for grounded responses. Furthermore, a new sample demonstrates generating code directly from PDF input. The changes also include necessary dependency updates and testing infrastructure to support these new functionalities, enhancing the SDK's ability to showcase advanced multimodal AI interactions.

Highlights

  • New Live Audio Samples: Introduced live_audio_with_txt.py for generating audio from text, live_txt_with_audio.py for text generation from audio, and live_conversation_audio_with_audio.py for full audio conversations with transcription.
  • RAG Integration Sample: Added live_ground_ragengine_with_txt.py to demonstrate Retrieval Augmented Generation (RAG) using a Vertex AI RagStore for grounded responses.
  • Code Generation from PDF: A new sample textgen_code_with_pdf.py was added, showcasing the ability to generate code based on content from a PDF document.
  • Dependency Updates: Added pyaudio, librosa, simpleaudio for audio handling and pytest-mock for testing to the respective requirements files.
  • Typo Correction: Renamed live_structured_ouput_with_txt.py to live_structured_output_with_txt.py to fix a spelling error.
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Code Review

This pull request adds several new 'live' samples demonstrating various features of the GenAI API, including audio-in/audio-out conversations, RAG grounding, and text-to-code from a PDF. The changes are a great addition. My review includes suggestions to improve the correctness, robustness, and clarity of the new samples and their tests. Key points include fixing a broken sample that relies on a local file, improving test practices by mocking network calls, and enhancing code clarity by removing unused code and correcting return types.

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