* Add external link [Machine learning model serving in Python using FastAPI and Streamlit](https://davidefiocco.github.io/2020/06/27/streamlit-fastapi-ml-serving.html) to docs. PR [#1669](https://github.com/tiangolo/fastapi/pull/1669) by [@davidefiocco](https://github.com/davidefiocco).

Run the server with:

<div class="termy">

```console
$ fastapi dev main.py

 ╭────────── FastAPI CLI - Development mode ───────────╮
 │                                                     │
 │  Serving at: http://127.0.0.1:8000                  │
 │                                                     │
 │  API docs: http://127.0.0.1:8000/docs               │
 │                                                     │

    typer.echo("Make sure you run the build-all command first.")
    os.chdir("site")
    server_address = ("", 8008)
    server = HTTPServer(server_address, SimpleHTTPRequestHandler)
    typer.echo("Serving at: http://127.0.0.1:8008")
    server.serve_forever()


@app.command()
def live(
    lang: str = typer.Argument(
        None, callback=lang_callback, autocompletion=complete_existing_lang
    ),

Run the server with:

<div class="termy">

```console
$ fastapi dev main.py

 ╭────────── FastAPI CLI - Development mode ───────────╮
 │                                                     │
 │  Serving at: http://127.0.0.1:8000                  │
 │                                                     │
 │  API docs: http://127.0.0.1:8000/docs               │
 │                                                     │

Starten Sie den Server mit:

<div class="termy">

```console
$ fastapi dev main.py

 ╭────────── FastAPI CLI - Development mode ───────────╮
 │                                                     │
 │  Serving at: http://127.0.0.1:8000                  │
 │                                                     │
 │  API docs: http://127.0.0.1:8000/docs               │
 │                                                     │