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docs/en/docs/advanced/behind-a-proxy.md
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docs/en/docs/tutorial/first-steps.md
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docs/en/docs/deployment/concepts.md
### Server Memory For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.
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README.md
* Swagger UI. * ReDoc. --- Coming back to the previous code example, **FastAPI** will: * Validate that there is an `item_id` in the path for `GET` and `PUT` requests. * Validate that the `item_id` is of type `int` for `GET` and `PUT` requests. * If it is not, the client will see a useful, clear error.
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docs/en/docs/advanced/settings.md
Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`). ### Use the `settings`
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docs/en/docs/index.md
* Swagger UI. * ReDoc. --- Coming back to the previous code example, **FastAPI** will: * Validate that there is an `item_id` in the path for `GET` and `PUT` requests. * Validate that the `item_id` is of type `int` for `GET` and `PUT` requests. * If it is not, the client will see a useful, clear error.
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docs/en/docs/deployment/docker.md
The first stage will only be used to **install Poetry** and to **generate the `requirements.txt`** with your project dependencies from Poetry's `pyproject.toml` file. This `requirements.txt` file will be used with `pip` later in the **next stage**. In the final container image **only the final stage** is preserved. The previous stage(s) will be discarded.
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