## نظر دیگران در مورد FastAPI

<div style="text-align: left; direction: ltr;"> [...] I'm using <strong>FastAPI</strong> a ton these days. [...] I'm actually planning to use it for all of my team's <strong>ML services at Microsoft</strong>. Some of them are getting integrated into the core <strong>Windows</strong> product and some <strong>Office</strong> products."</div>

## Opinions

"_[...] J'utilise beaucoup **FastAPI** ces derniers temps. [...] Je prévois de l'utiliser dans mon équipe pour tous les **services de ML chez Microsoft**. Certains d'entre eux seront intégrés dans le coeur de **Windows** et dans certains produits **Office**._"

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     * pt-br=pt-br<br>
     * pt_BR=pt-br<br>
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## Opinions

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

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				"text/x-less",
				"text/x-lex",
				"text/x-log",
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    return x * 42


ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")

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* Remove the `EnumNamesXNNPackFlags` function in `tensorflow/lite/acceleration/configuration/configuration_generated.h`.

    <_comment>Lua source code</_comment>
    <glob pattern="*.lua"/>
    <sub-class-of type="text/plain"/>
  </mime-type>

  <mime-type type="text/x-ml">
    <_comment>ML source code</_comment>
    <glob pattern="*.ml"/>
    <sub-class-of type="text/plain"/>
  </mime-type>

  <mime-type type="text/x-matlab">
    <_comment>Matlab source code</_comment>