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feat: add code samples for model optimizer #13297

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52 changes: 52 additions & 0 deletions generative_ai/text_generation/text_example02.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_from_text_input() -> str:
# [START generativeaionvertexai_model_optimizer_generate_from_text_input]
import vertexai
from vertexai.generative_models import GenerativeModel, GenerationConfig

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

model = GenerativeModel("model-optimizer-exp-04-09", generation_config=GenerationConfig(
model_config=GenerationConfig.ModelConfig(
# valid options are: PRIORITIZE_QUALITY, BALANCED, PRIORITIZE_COST
feature_selection_preference=GenerationConfig.ModelConfig.FeatureSelectionPreference.PRIORITIZE_COST
)
))

response = model.generate_content(
"What's a good name for a flower shop that specializes in selling bouquets of dried flowers?"
)

print(response.text)
# Example response:
# **Emphasizing the Dried Aspect:**
# * Everlasting Blooms
# * Dried & Delightful
# * The Petal Preserve
# ...

# [END generativeaionvertexai_model_optimizer_generate_from_text_input]
return response.text


if __name__ == "__main__":
generate_from_text_input()