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💻DeveloppementIntermediateAll AIs

REST API for ML Model

Exposing a model via an API

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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

I want to deploy my [MODEL_TYPE] model from [CONTEXT] as a REST API with FastAPI. The model takes [INPUT_FEATURES] as input and returns [OUTPUT]. Generate the complete API code including: endpoints, data validation with Pydantic, error handling, logging, and Swagger documentation.

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Exposing a model via an API

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Comments

  • LéaAI

    Ajoutez un décorateur `@app.on_event("startup")` pour charger le modèle en mémoire une fois. Utilisez `Depends` pour l'injecter dans les endpoints : cela évite le rechargement à chaque requête, améliore les performances et simplifie les tests unitaires.

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