## 安裝

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

你同時也會需要 ASGI 伺服器用於生產環境，像是 <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> 或 <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>。

<div class="termy">

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

---> 100%
```

## Install `WebSockets`

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

<div class="termy">

```console
$ pip install websockets

---> 100%
```

</div>

## WebSockets client

### In production

In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular.

from tensorflow.python.compat import v2_compat as _compat
_compat.enable_v2_behavior()
_major_api_version = 2


# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll
from tensorflow.python.lib.io import file_io as _fi

## Example Lambda handler

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py
from flask import Flask, request, abort, make_response
import requests

app = Flask(__name__)
@app.route('/', methods=['POST'])

# 📨 📁

👆 💪 🔬 📁 📂 👩‍💻 ⚙️ `File`.

/// info

📨 📂 📁, 🥇 ❎ <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

🤶 Ⓜ. `pip install python-multipart`.

👉 ↩️ 📂 📁 📨 "📨 💽".

///

## 🗄 `File`

🗄 `File` &amp; `UploadFile` ⚪️➡️ `fastapi`:

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

## 🔬 `File` 🔢

# FastAPI CLI

**FastAPI CLI** 是一个命令行程序，你可以用它来部署和运行你的 FastAPI 应用程序，管理你的 FastAPI 项目，等等。

当你安装 FastAPI 时（例如使用 `pip install FastAPI` 命令），会包含一个名为 `fastapi-cli` 的软件包，该软件包在终端中提供 `fastapi` 命令。

要在开发环境中运行你的 FastAPI 应用，你可以使用 `fastapi dev` 命令：

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

Чтобы использовать `EmailStr`, прежде необходимо установить <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email-validator`</a>.
Используйте `pip install email-validator`
или `pip install pydantic[email]`.

///

Далее мы используем нашу модель в аннотациях типа как для аргумента функции, так и для выходного значения:

//// tab | Python 3.10+

## `WebSockets`のインストール

まず `WebSockets`のインストールが必要です。

<div class="termy">

```console
$ pip install websockets

---> 100%
```

</div>

## WebSocket クライアント

### 本番環境

本番環境では、React、Vue.js、Angularなどの最新のフレームワークで作成されたフロントエンドを使用しているでしょう。

    keras
* **Apple Silicon users:** If you previously installed TensorFlow using
    `pip install tensorflow-macos`, please update your installation method. Use
    `pip install tensorflow` from now on.
* **Mac x86 users:** Mac x86 builds are being deprecated and will no longer be
  released as a Pip package from TF 2.17 onwards.

### Known Caveats

## Gunicorn und Uvicorn installieren

<div class="termy">

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

---> 100%
```

</div>

Dadurch wird sowohl Uvicorn mit zusätzlichen `standard`-Packages (um eine hohe Leistung zu erzielen) als auch Gunicorn installiert.