python3.6 get-pip.py --user
cd -
# Install Flit to be able to install all
python3.6 -m pip install --user flit
# Install with Flit
python3.6 -m flit install --user --extras doc
# Finally, run mkdocs

name: FastAPI People

on:
  schedule:
    - cron: "0 14 1 * *"
  workflow_dispatch:
    inputs:
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  fastapi-people:
    if: github.repository_owner == 'tiangolo'
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context

        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/cryptapi-banner.svg" />
      </a>
    </div>
    <div class="item">

你可以执行 `./scripts/docs.py live` 命令来预览结果（或者 `mkdocs serve`）。

但是当你完成翻译后，你可以像在线上展示一样测试所有内容，包括所有其他语言。

为此，首先构建所有文档：

<div class="termy">

```console
// Use the command "build-all", this will take a bit
$ python ./scripts/docs.py build-all

Building docs for: en
Building docs for: es
Successfully built docs for: es
```

</div>

这样会对每一种语言构建一个独立的文档站点，并最终把这些站点全部打包输出到 `./site/` 目录。

<a href="https://platform.sh/try-it-now/?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023" target="_blank" title="Build, run and scale your apps on a modern, reliable, and secure PaaS."><img src="https://fastapi.tiangolo.com/img/sponsors/platform-sh.png"></a>

# Simple OAuth2 with Password and Bearer

Now let's build from the previous chapter and add the missing parts to have a complete security flow.

## Get the `username` and `password`

We are going to use **FastAPI** security utilities to get the `username` and `password`.

OAuth2 specifies that when using the "password flow" (that we are using) the client/user must send a `username` and `password` fields as form data.

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning

With **FastAPI** you can take the advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

---

"_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._"

      - uses: actions/cache@v4
        with:
          key: mkdocs-cards-${{ matrix.lang }}-${{ github.ref }}
          path: docs/${{ matrix.lang }}/.cache
      - name: Build Docs
        run: python ./scripts/docs.py build-lang ${{ matrix.lang }}
      - uses: actions/upload-artifact@v3
        with:
          name: docs-site
          path: ./site/**

  # https://github.com/marketplace/actions/alls-green#why

#!/usr/bin/env bash

set -e
set -x

# Check README.md is up to date
python ./scripts/docs.py verify-docs