* Construisez votre image FastAPI :

<div class="termy">

```console
$ docker build -t myimage .

---> 100%
```

</div>

## Démarrer le conteneur Docker

* Exécutez un conteneur basé sur votre image :

<div class="termy">

```console
$ docker run -d --name mycontainer -p 80:80 myimage
```

</div>

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<h3 id="searchOptionsLabel">
	<la:message key="labels.search_options" />
</h3>
<div>
	<fieldset class="form-group">
		<legend><la:message key="labels.index_num" /></legend>
		<label for="contentNum"><la:message key="labels.index_num" /></label>
		<la:select property="num" styleId="numSearchOption"
			styleClass="form-control">
			<option value="10">

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<h3 id="searchOptionsLabel">
	<la:message key="labels.search_options" />
</h3>
<div>
	<fieldset class="form-group">
		<legend><la:message key="labels.index_num" /></legend>
		<label for="contentNum"><la:message key="labels.index_num" /></label>
		<la:select property="num" styleId="numSearchOption"
			styleClass="form-control">
			<option value="10">

<div style="text-align: right; margin-right: 10%;">কবির খান - <strong>মাইক্রোসফ্টে</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_আমরা **FastAPI** লাইব্রেরি গ্রহণ করেছি একটি **REST** সার্ভার তৈরি করতে, যা **ভবিষ্যদ্বাণী** পাওয়ার জন্য কুয়েরি করা যেতে পারে। [লুডউইগের জন্য]_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

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

```

</div>

⚫️ **🏆 💡** 👈 👆 ✍ ⚖️ 📁 📟, ✍ ⚫️ &amp; 🏃 ⚫️ 🌐.

⚙️ ⚫️ 👆 👨‍🎨 ⚫️❔ 🤙 🎦 👆 💰 FastAPI, 👀 ❔ 🐥 📟 👆 ✔️ ✍, 🌐 🆎 ✅, ✍, ♒️.

---

## ❎ FastAPI

🥇 🔁 ❎ FastAPI.

🔰, 👆 💪 💚 ❎ ⚫️ ⏮️ 🌐 📦 🔗 &amp; ⚒:

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...👈 🔌 `uvicorn`, 👈 👆 💪 ⚙️ 💽 👈 🏃 👆 📟.

Esta `app` es la misma a la que nos referimos cuando usamos el comando de `uvicorn`:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Si creas un app como:

```Python hl_lines="3"
{!../../docs_src/first_steps/tutorial002.py!}
```

## 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.

## Gunicorn mit Uvicorn-Workern ausführen

Dann können Sie Gunicorn ausführen mit:

<div class="termy">

```console

Cette `app` est la même que celle à laquelle fait référence `uvicorn` dans la commande :

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Si vous créez votre app avec :

```Python hl_lines="3"
{!../../docs_src/first_steps/tutorial002.py!}
```

Este `app` é o mesmo referenciado por `uvicorn` no comando:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Se você criar a sua aplicação como:

```Python hl_lines="3"
{!../../docs_src/first_steps/tutorial002.py!}