---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>

---

---

## **Typer**, интерфейс командной строки для FastAPI

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, e Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>

---

---

「_我们选择了 **FastAPI** 来创建用于获取**预测结果**的 **REST** 服务。[用于 Ludwig]_」

<div style="text-align: right; margin-right: 10%;">Piero Molino，Yaroslav Dudin 和 Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>

---

### Install requirements using pip

After activating the environment as described above:

<div class="termy">

```console
$ pip install -r requirements.txt

---> 100%
```

</div>

It will install all the dependencies and your local FastAPI in your local environment.

### Using your local FastAPI

### Generate a TypeScript Client

Now that we have the app with the models, we can generate the client code for the frontend.

#### Install `openapi-ts`

You can install `openapi-ts` in your frontend code with:

<div class="termy">

```console
$ npm install @hey-api/openapi-ts --save-dev

---> 100%
```

</div>

#### Generate Client Code

<div class="termy">

```console
$ python -m pip install --upgrade pip

---> 100%
```

</div>

!!! tip
    🔠 🕰 👆 ❎ 🆕 📦 ⏮️ `pip` 🔽 👈 🌐, 🔓 🌐 🔄.

    👉 ⚒ 💭 👈 🚥 👆 ⚙️ 📶 📋 ❎ 👈 📦, 👆 ⚙️ 1️⃣ ⚪️➡️ 👆 🇧🇿 🌐 &amp; 🚫 🙆 🎏 👈 💪 ❎ 🌐.

### 🐖

⏮️ 🔓 🌐 🔬 🔛:

<div class="termy">

```console
$ pip install -r requirements.txt

---> 100%
```

</div>

    {!> ../../../docs_src/response_model/tutorial002.py!}
    ```

!!! info
    To use `EmailStr`, first install <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email_validator`</a>.

    E.g. `pip install email-validator`
    or `pip install pydantic[email]`.

And we are using this model to declare our input and the same model to declare our output:

그리고 나서 구니콘과 호환되는 **유비콘 워커** 클래스는 구니콘이 보낸 데이터를 FastAPI에서 사용하기 위한 ASGI 표준으로 변환하는 일을 담당합니다.

## 구니콘과 유비콘 설치하기

<div class="termy">

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

---> 100%
```

</div>

이 명령어는 유비콘 `standard` 추가 패키지(좋은 성능을 위한)와 구니콘을 설치할 것입니다.

## 구니콘을 유비콘 워커와 함께 실행하기

설치 후 구니콘 실행하기:

<div class="termy">

```console

```

该文件`__init__.py`只是一个空文件，但它告诉 Python 其中`sql_app`的所有模块（Python 文件）都是一个包。

现在让我们看看每个文件/模块的作用。

## 安装 SQLAlchemy

先下载`SQLAlchemy`所需要的依赖：

<div class="termy">

```console
$ pip install sqlalchemy

---> 100%
```

</div>

## 创建 SQLAlchemy 部件

让我们转到文件`sql_app/database.py`。

### 导入 SQLAlchemy 部件

```Python hl_lines="1-3"