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  1. docs/en/docs/contributing.md

    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    That will create a directory `./env/` with the Python binaries, and then you will be able to install packages for that local environment.
    
    ### Activate the environment
    
    Activate the new environment with:
    
    === "Linux, macOS"
    
        <div class="termy">
    
        ```console
        $ source ./env/bin/activate
        ```
    
    Plain Text
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  2. docs/em/docs/contributing.md

    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    👈 🔜 ✍ 📁 `./env/` ⏮️ 🐍 💱 &amp; ⤴️ 👆 🔜 💪 ❎ 📦 👈 ❎ 🌐.
    
    ### 🔓 🌐
    
    🔓 🆕 🌐 ⏮️:
    
    === "💾, 🇸🇻"
    
        <div class="termy">
    
        ```console
        $ source ./env/bin/activate
        ```
    
        </div>
    
    === "🚪 📋"
    
        <div class="termy">
    
        ```console
        $ .\env\Scripts\Activate.ps1
        ```
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  3. docs/pt/docs/contributing.md

    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    Isso criará o diretório `./env/` com os binários Python e então você será capaz de instalar pacotes nesse ambiente isolado.
    
    ### Ativar o ambiente
    
    Ative o novo ambiente com:
    
    === "Linux, macOS"
    
        <div class="termy">
    
        ```console
        $ source ./env/bin/activate
        ```
    
        </div>
    
    Plain Text
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  4. docs/en/docs/advanced/behind-a-proxy.md

    Now start Traefik:
    
    <div class="termy">
    
    ```console
    $ ./traefik --configFile=traefik.toml
    
    INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
    ```
    
    </div>
    
    And now start your app, using the `--root-path` option:
    
    <div class="termy">
    
    ```console
    $ fastapi run main.py --root-path /api/v1
    
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  5. docs/ru/docs/tutorial/first-steps.md

    ```Python
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    Скопируйте в файл `main.py`.
    
    Запустите сервер в режиме реального времени:
    
    <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)
    <span style="color: green;">INFO</span>:     Started reloader process [28720]
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  6. docs/de/docs/tutorial/first-steps.md

    ```Python
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    Kopieren Sie dies in eine Datei `main.py`.
    
    Starten Sie den Live-Server:
    
    <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)
    <span style="color: green;">INFO</span>:     Started reloader process [28720]
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  7. docs/ko/docs/deployment/server-workers.md

    ## 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
    $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80
    
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  8. docs/ja/docs/tutorial/first-steps.md

    # 最初のステップ
    
    最もシンプルなFastAPIファイルは以下のようになります:
    
    ```Python
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    これを`main.py`にコピーします。
    
    ライブサーバーを実行します:
    
    <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)
    <span style="color: green;">INFO</span>:     Started reloader process [28720]
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  9. docs/pt/docs/deployment.md

    * Construa sua imagem FastAPI:
    
    <div class="termy">
    
    ```console
    $ docker build -t myimage .
    
    ---> 100%
    ```
    
    </div>
    
    ### Inicie o container Docker
    
    * Rode um container baseado em sua imagem:
    
    <div class="termy">
    
    ```console
    $ docker run -d --name mycontainer -p 80:80 myimage
    ```
    
    </div>
    
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  10. docs/en/docs/advanced/generate-clients.md

    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
    
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