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example_02.py
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# 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_content() -> str:
# [START generativeaionvertexai_gemini_controlled_generation_response_schema_2]
import vertexai
from vertexai.generative_models import GenerationConfig, GenerativeModel
# TODO(developer): Update and un-comment below line
# PROJECT_ID = "your-project-id"
vertexai.init(project=PROJECT_ID, location="us-central1")
response_schema = {
"type": "ARRAY",
"items": {
"type": "ARRAY",
"items": {
"type": "OBJECT",
"properties": {
"rating": {"type": "INTEGER"},
"flavor": {"type": "STRING"},
},
},
},
}
prompt = """
Reviews from our social media:
- "Absolutely loved it! Best ice cream I've ever had." Rating: 4, Flavor: Strawberry Cheesecake
- "Quite good, but a bit too sweet for my taste." Rating: 1, Flavor: Mango Tango
"""
model = GenerativeModel("gemini-1.5-pro-002")
response = model.generate_content(
prompt,
generation_config=GenerationConfig(
response_mime_type="application/json", response_schema=response_schema
),
)
print(response.text)
# Example response:
# [
# [
# {"flavor": "Strawberry Cheesecake", "rating": 4},
# {"flavor": "Mango Tango", "rating": 1},
# ]
# ]
# [END generativeaionvertexai_gemini_controlled_generation_response_schema_2]
return response.text
if __name__ == "__main__":
generate_content()