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docs/en/docs/advanced/behind-a-proxy.md
## Testing locally with Traefik You can easily run the experiment locally with a stripped path prefix using <a href="https://docs.traefik.io/" class="external-link" target="_blank">Traefik</a>. <a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">Download Traefik</a>, it's a single binary, you can extract the compressed file and run it directly from the terminal.
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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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docs/en/docs/tutorial/first-steps.md
### Step 5: return the content ```Python hl_lines="8" {!../../../docs_src/first_steps/tutorial001.py!} ``` You can return a `dict`, `list`, singular values as `str`, `int`, etc. You can also return Pydantic models (you'll see more about that later).
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fastapi/security/http.py
be `None`. This is useful when you want to have optional authentication. It is also useful when you want to have authentication that can be provided in one of multiple optional ways (for example, in HTTP Basic authentication or in an HTTP Bearer token). """ ), ] = True, ):
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docs/pl/docs/index.md
--- "_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/deployment/concepts.md
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docs/en/docs/release-notes.md
participant dep as Dep with yield participant operation as Path Operation participant tasks as Background tasks Note over client,tasks: Can raise exception for dependency, handled after response is sent Note over client,operation: Can raise HTTPException and can change the response client ->> dep: Start request Note over dep: Run code up to yield opt raise dep -->> handler: Raise HTTPException
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docs/hu/docs/index.md
--- "_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
--- "_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/advanced/websockets.md
## Await for messages and send messages In your WebSocket route you can `await` for messages and send messages. ```Python hl_lines="48-52" {!../../../docs_src/websockets/tutorial001.py!} ``` You can receive and send binary, text, and JSON data. ## Try it If your file is named `main.py`, run your application with: <div class="termy">
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