Update Gemini text classification to gemini-2.5-flash#38839
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #38839 +/- ##
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Coverage 57.76% 57.77%
Complexity 12963 12963
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Files 2509 2509
Lines 260492 260553 +61
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+ Hits 150469 150528 +59
- Misses 104318 104320 +2
Partials 5705 5705
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request addresses the retirement of the gemini-2.0-flash-001 model on Vertex AI by migrating the Gemini text classification example to gemini-2.5-flash. These changes ensure that the associated Python post-commit tests remain functional and accurate. Highlights
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Code Review
This pull request updates the Gemini model used in the Python inference examples from gemini-2.0-flash-001 to gemini-2.5-flash (and gemini-2.5-flash-image in the image generation example). A review comment points out that the docstring in the image generation example still refers to text classification and uses an invalid model name (gemini-2.5-flash-image), suggesting a correction.
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| """ A sample pipeline using the RunInference API to classify text using an LLM. | ||
| This pipeline creates a set of prompts and sends it to a Gemini service then | ||
| returns the predictions from the classifier model. This example uses the | ||
| gemini-2.0-flash-001 model. | ||
| returns generated images from the model. This example uses the | ||
| gemini-2.5-flash-image model. | ||
| """ |
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The docstring contains two inaccuracies:
- It still states "classify text using an LLM", whereas this pipeline is for image generation.
gemini-2.5-flash-imageis not a valid Gemini model name. It should be updated togemini-2.5-flash(or the correct model name used in the pipeline).
| """ A sample pipeline using the RunInference API to classify text using an LLM. | |
| This pipeline creates a set of prompts and sends it to a Gemini service then | |
| returns the predictions from the classifier model. This example uses the | |
| gemini-2.0-flash-001 model. | |
| returns generated images from the model. This example uses the | |
| gemini-2.5-flash-image model. | |
| """ | |
| """ A sample pipeline using the RunInference API to generate images using an LLM. | |
| This pipeline creates a set of prompts and sends it to a Gemini service then | |
| returns generated images from the model. This example uses the | |
| gemini-2.5-flash model. | |
| """ |
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1 participant
Fixes: #38691
Update the Gemini text classification example to use gemini-2.5-flash instead of gemini-2.0-flash-001, which was retired on Vertex AI to fix the failing Python 3.10 postcommit geminiInferenceTest (test_gemini_text_classification)
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