single_turn_multi_image_example.py

# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os

PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")


def generate_text_multimodal() -> str:
    # [START generativeaionvertexai_gemini_single_turn_multi_image]
    import vertexai

    from vertexai.generative_models import GenerativeModel, Part

    # TODO(developer): Update and un-comment below line
    # PROJECT_ID = "your-project-id"
    vertexai.init(project=PROJECT_ID, location="us-central1")

    # Load images from Cloud Storage URI
    image_file1 = Part.from_uri(
        "gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png",
        mime_type="image/png",
    )
    image_file2 = Part.from_uri(
        "gs://cloud-samples-data/vertex-ai/llm/prompts/landmark2.png",
        mime_type="image/png",
    )
    image_file3 = Part.from_uri(
        "gs://cloud-samples-data/vertex-ai/llm/prompts/landmark3.png",
        mime_type="image/png",
    )

    model = GenerativeModel("gemini-1.5-flash-002")
    response = model.generate_content(
        [
            image_file1,
            "city: Rome, Landmark: the Colosseum",
            image_file2,
            "city: Beijing, Landmark: Forbidden City",
            image_file3,
        ]
    )
    print(response.text)
    # Example response:
    # city: Rio de Janeiro, Landmark: Christ the Redeemer

    # [END generativeaionvertexai_gemini_single_turn_multi_image]
    return response.text


if __name__ == "__main__":
    generate_text_multimodal()