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  1. docs/pl/docs/index.md

    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
    <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
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  2. docs/ru/docs/index.md

    ---
    
    ## **Typer**, интерфейс командной строки для FastAPI
    
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  3. docs/it/docs/index.md

    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
    <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, e Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
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  4. docs/zh/docs/index.md

    ---
    
    「_我们选择了 **FastAPI** 来创建用于获取**预测结果**的 **REST** 服务。[用于 Ludwig]_」
    
    <div style="text-align: right; margin-right: 10%;">Piero Molino,Yaroslav Dudin 和 Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
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  5. docs/en/docs/deployment/manually.md

    ## Install the Server Program
    
    When you install FastAPI, it comes with a production server, Uvicorn, and you can start it with the `fastapi run` command.
    
    But you can also install an ASGI server manually:
    
    === "Uvicorn"
    
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  6. .github/workflows/test.yml

          - name: Install Dependencies
            if: steps.cache.outputs.cache-hit != 'true'
            run: pip install -r requirements-tests.txt
          - name: Install Pydantic v1
            if: matrix.pydantic-version == 'pydantic-v1'
            run: pip install "pydantic>=1.10.0,<2.0.0"
          - name: Install Pydantic v2
            if: matrix.pydantic-version == 'pydantic-v2'
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  7. docs/pt/docs/tutorial/index.md

    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ...isso também inclui o `uvicorn`, que você pode usar como o servidor que rodará seu código.
    
    !!! note "Nota"
        Você também pode instalar parte por parte.
    
        Isso é provavelmente o que você faria quando você quisesse lançar sua aplicação em produção:
    
        ```
        pip install fastapi
        ```
    
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  8. .github/workflows/publish.yml

              python-version: "3.10"
              # Issue ref: https://github.com/actions/setup-python/issues/436
              # cache: "pip"
              # cache-dependency-path: pyproject.toml
          - name: Install build dependencies
            run: pip install build
          - name: Build distribution
            env:
              TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
            run: python -m build
          - name: Publish
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  9. docs/en/docs/tutorial/testing.md

    ## Using `TestClient`
    
    !!! info
        To use `TestClient`, first install <a href="https://www.python-httpx.org" class="external-link" target="_blank">`httpx`</a>.
    
        E.g. `pip install httpx`.
    
    Import `TestClient`.
    
    Create a `TestClient` by passing your **FastAPI** application to it.
    
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  10. docs/ru/docs/deployment/docker.md

    # (2)
    WORKDIR /tmp
    
    # (3)
    RUN pip install poetry
    
    # (4)
    COPY ./pyproject.toml ./poetry.lock* /tmp/
    
    # (5)
    RUN poetry export -f requirements.txt --output requirements.txt --without-hashes
    
    # (6)
    FROM python:3.9
    
    # (7)
    WORKDIR /code
    
    # (8)
    COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt
    
    # (9)
    RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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