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feat: add code samples for model optimizer
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# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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def generate_content() -> str:
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# [START googlegenaisdk_model_optimizer_textgen_with_txt]
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from google import genai
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from google.genai.types import HttpOptions
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client = genai.Client(http_options=HttpOptions(api_version="v1"))
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response = client.models.generate_content(
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model="model-optimizer-exp-04-09",
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contents="How does AI work?",
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)
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print(response.text)
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# Example response:
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# Okay, let's break down how AI works. It's a broad field, so I'll focus on the ...
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#
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# Here's a simplified overview:
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# ...
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# [END googlegenaisdk_model_optimizer_textgen_with_txt]
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return response.text
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if __name__ == "__main__":
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generate_content()

genai/text_generation/test_text_generation_examples.py

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import os
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import model_optimizer_textgen_with_txt
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import textgen_async_with_txt
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import textgen_chat_stream_with_txt
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import textgen_chat_with_txt
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import textgen_with_youtube_video
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import thinking_textgen_with_txt
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os.environ["GOOGLE_GENAI_USE_VERTEXAI"] = "True"
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os.environ["GOOGLE_CLOUD_LOCATION"] = "us-central1"
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# The project name is included in the CICD pipeline
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def test_textgen_with_youtube_video() -> None:
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response = textgen_with_youtube_video.generate_content()
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assert response
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def test_model_optimizer_textgen_with_txt() -> None:
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response = model_optimizer_textgen_with_txt.generate_content()
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assert response

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