Generate content stream with Multimodal AI Model

The 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

Explore further

For detailed documentation that includes this code sample, see the following:

Text generation

Code sample

Python

Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries. For more information, see the Vertex AI Python API reference documentation.

To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

from google import genai
from google.genai.types import HttpOptions

client = genai.Client(http_options=HttpOptions(api_version="v1"))
chat = client.chats.create(model="gemini-2.0-flash-001")
response_text = ""

for chunk in chat.send_message_stream("Why is the sky blue?"):
    print(chunk.text, end="")
    response_text += chunk.text
# Example response:
# The
#  sky appears blue due to a phenomenon called **Rayleigh scattering**. Here's
#  a breakdown of why:
# ...

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