<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

Вам также понадобится сервер ASGI для производства, такой как <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> или <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%

Use `pylint` to check your Python changes. To install `pylint` and check a file
with `pylint` against TensorFlow's custom style definition:

```bash
pip install pylint
pylint --rcfile=tensorflow/tools/ci_build/pylintrc myfile.py
```

Note `pylint --rcfile=tensorflow/tools/ci_build/pylintrc` should run from the
top level tensorflow directory.

## Abhängigkeiten installieren

Installieren Sie `jinja2`:

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Verwendung von `Jinja2Templates`

* Importieren Sie `Jinja2Templates`.
* Erstellen Sie ein `templates`-Objekt, das Sie später wiederverwenden können.

/// info

Um Formulare zu verwenden, installieren Sie zuerst <a href="https://andrew-d.github.io/python-multipart/" class="external-link" target="_blank">`python-multipart`</a>.

Z. B. `pip install python-multipart`.

///

## `Form` importieren

Importieren Sie `Form` von `fastapi`:

//// tab | Python 3.9+

```Python hl_lines="3"
{!> ../../docs_src/request_forms/tutorial001_an_py39.py!}

## Instalação de dependências

Para instalar o `jinja2`, siga o código abaixo:

<div class="termy">

```console
$ pip install jinja2
```

</div>

## Usando `Jinja2Templates`

* Importe `Jinja2Templates`.
* Crie um `templates` que você possa reutilizar posteriormente.

* `fastapi-cli` - to provide the `fastapi` command.

### Without `standard` Dependencies

If you don't want to include the `standard` optional dependencies, you can install with `pip install fastapi` instead of `pip install "fastapi[standard]"`.

### Additional Optional Dependencies

There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

# 表单数据

接收的不是 JSON，而是表单字段时，要使用 `Form`。

/// info | "说明"

要使用表单，需预先安装 <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>。

例如，`pip install python-multipart`。

///

## 导入 `Form`

从 `fastapi` 导入 `Form`：

```Python hl_lines="1"
{!../../docs_src/request_forms/tutorial001.py!}
```

## 定义 `Form` 参数

创建表单（`Form`）参数的方式与 `Body` 和 `Query` 一样：

    id: tf-nightly
    attributes:
      label: Have you reproduced the bug with TensorFlow Nightly?
      description: It is strongly suggested that you reproduce the bug with [TensorFlow Nightly](https://www.tensorflow.org/install/pip#nightly)
      options:
        - "Yes"
        - "No"
    validations:
      required: true

  - type: markdown
    attributes:
      value: |

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

```console
$ pip install python-multipart
```

///

## Import `Form`

Import `Form` from `fastapi`:

//// tab | Python 3.9+

```Python hl_lines="3"
{!> ../../docs_src/request_forms/tutorial001_an_py39.py!}
```

## Instalando `WebSockets`

Garanta que você criou um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, o ativou e instalou o `websockets`:

<div class="termy">

```console
$ pip install websockets

---> 100%
```

</div>

## Cliente WebSockets

### Em produção