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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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docs/pl/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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docs/ru/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> --- "_Мы использовали библиотеку **FastAPI** для создания сервера **REST**, к которому можно делать запросы для получения **прогнозов**. [для Ludwig]_"
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docs/zh/docs/index.md
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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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docs/hu/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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docs/es/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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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: <div class="termy"> ```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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docs/de/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> --- „_Wir haben die **FastAPI**-Bibliothek genommen, um einen **REST**-Server zu erstellen, der abgefragt werden kann, um **Vorhersagen** zu erhalten. [für Ludwig]_“
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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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