使用多模态 AI 模型生成内容流
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此代码示例演示了如何使用生成式 AI 模型根据视频、图片和文本输入的组合生成流式格式的文本
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[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[],null,["# Generate content stream with Multimodal AI Model\n\nThe code sample demonstrates how to use Generative AI Models to generate text in a streaming format based on a combination of video, image, and text inputs\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Text generation](/vertex-ai/generative-ai/docs/multimodal/send-chat-prompts-gemini)\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n from google import genai\n from google.genai.types import HttpOptions\n\n client = genai.Client(http_options=HttpOptions(api_version=\"v1\"))\n chat_session = client.chats.create(model=\"gemini-2.5-flash\")\n\n for chunk in chat_session.send_message_stream(\"Why is the sky blue?\"):\n print(chunk.text, end=\"\")\n # Example response:\n # The\n # sky appears blue due to a phenomenon called **Rayleigh scattering**. Here's\n # a breakdown of why:\n # ...\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=googlegenaisdk)."]]