# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)
COPY ./app /code/app

# (6)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

1. 공식 파이썬 베이스 이미지에서 시작합니다.

2. 현재 워킹 디렉터리를 `/code`로 설정합니다.

    여기에 `requirements.txt` 파일과 `app` 디렉터리를 위치시킬 것입니다.

```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

Entonces solo tendrías que cambiar las rutas correspondientes para copiar el archivo dentro del `Dockerfile`:

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (1)!
COPY ./main.py /code/

  grep -v "twine" $REQUIREMENTS > requirements_without_twine.txt
  REQUIREMENTS=requirements_without_twine.txt
fi

# Disable the cache dir to save image space, and install packages

        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt -r requirements-translations.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

    default_python_version = "system",
    local_wheel_dist_folder = "dist",
    local_wheel_inclusion_list = [
        "tensorflow*",
        "tf_nightly*",
    ],
    local_wheel_workspaces = ["//:WORKSPACE"],
    requirements = {
        "3.9": "//:requirements_lock_3_9.txt",
        "3.10": "//:requirements_lock_3_10.txt",
        "3.11": "//:requirements_lock_3_11.txt",
        "3.12": "//:requirements_lock_3_12.txt",

        if (buildFile == null) {
            buildFile = "" // Let Gradle detect the build script
        }
        skipConditionally(buildType)
    }

fun Requirements.requiresOs(os: Os) {
    contains("teamcity.agent.jvm.os.name", os.agentRequirement)
}

fun Requirements.requiresArch(
    os: Os,
    arch: Arch,
) {
    if (os == Os.MACOS) {
        contains("teamcity.agent.jvm.os.arch", arch.nameOnMac)
    } else {

     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   
   -----------------------------------------------------------------------------------------------
   
   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   

    }
    TesterRequirements requirements;
    try {
      requirements = FeatureUtil.getTesterRequirements(method);
    } catch (ConflictingRequirementsException e) {
      throw new RuntimeException(e);
    }
    if (!features.containsAll(requirements.getPresentFeatures())) {
      if (logger.isLoggable(FINER)) {
        Set<Feature<?>> missingFeatures = copyToSet(requirements.getPresentFeatures());

---> 100%
```

</div>

////

### Install from `requirements.txt` { #install-from-requirements-txt }

If you have a `requirements.txt`, you can now use it to install its packages.

//// tab | `pip`

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
```

</div>

////

//// tab | `uv`

# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)
COPY ./app /code/app

# (6)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

1. 公式のPythonベースイメージから始めます

2. 現在の作業ディレクトリを `/code` に設定します

    ここに `requirements.txt` ファイルと `app` ディレクトリを置きます。