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  1. docs/en/docs/index.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
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  2. docs/en/docs/advanced/settings.md

    First, install the `pydantic-settings` package:
    
    <div class="termy">
    
    ```console
    $ pip install pydantic-settings
    ---> 100%
    ```
    
    </div>
    
    It also comes included when you install the `all` extras with:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    ---> 100%
    ```
    
    </div>
    
    !!! info
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  3. docs/en/docs/deployment/manually.md

    First you need to install Hypercorn with Trio support:
    
    <div class="termy">
    
    ```console
    $ pip install "hypercorn[trio]"
    ---> 100%
    ```
    
    </div>
    
    ### Run with Trio
    
    Then you can pass the command line option `--worker-class` with the value `trio`:
    
    <div class="termy">
    
    ```console
    $ hypercorn main:app --worker-class trio
    ```
    
    </div>
    
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  4. docs/en/docs/tutorial/index.md

    </pre>
    ```
    
    </div>
    
    It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.
    
    Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.
    
    ---
    
    ## Install FastAPI
    
    The first step is to install FastAPI:
    
    <div class="termy">
    
    ```console
    $ pip install fastapi
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  5. README.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
    Plain Text
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  6. docs/en/docs/advanced/behind-a-proxy.md

    Now start Traefik:
    
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    ```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:
    
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    ```console
    $ fastapi run main.py --root-path /api/v1
    
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  7. docs/en/docs/advanced/websockets.md

    ## Install `WebSockets`
    
    First you need to install `WebSockets`:
    
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    ```console
    $ pip install websockets
    
    ---> 100%
    ```
    
    </div>
    
    ## WebSockets client
    
    ### In production
    
    In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular.
    
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  8. docs/en/docs/deployment/docker.md

    fastapi>=0.112.0,<0.113.0
    pydantic>=2.7.0,<3.0.0
    ```
    
    And you would normally install those package dependencies with `pip`, for example:
    
    <div class="termy">
    
    ```console
    $ pip install -r requirements.txt
    ---> 100%
    Successfully installed fastapi pydantic
    ```
    
    </div>
    
    !!! info
        There are other formats and tools to define and install package dependencies.
    
    ### Create the **FastAPI** Code
    
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  9. docs/en/docs/fastapi-cli.md

    To run your FastAPI app for development, you can use the `fastapi dev` command:
    
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    ```console
    $ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
    <font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>
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  10. docs/en/docs/tutorial/first-steps.md

    # First Steps
    
    The simplest FastAPI file could look like this:
    
    ```Python
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    Copy that to a file `main.py`.
    
    Run the live server:
    
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    ```console
    $ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
    <font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>
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