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docs/en/docs/contributing.md
<div class="termy"> ```console $ python ./scripts/docs.py live <span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008 <span style="color: green;">[INFO]</span> Start watching changes <span style="color: green;">[INFO]</span> Start detecting changes ``` </div> It will serve the documentation on `http://127.0.0.1:8008`.
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docs/de/docs/deployment/https.md
* Die Inhalte sind **verschlüsselt**, auch wenn sie mit dem **HTTP-Protokoll** gesendet werden.
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docs/em/docs/contributing.md
<div class="termy"> ```console $ python ./scripts/docs.py live <span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008 <span style="color: green;">[INFO]</span> Start watching changes <span style="color: green;">[INFO]</span> Start detecting changes ``` </div> ⚫️ 🔜 🍦 🧾 🔛 `http://127.0.0.1:8008`. 👈 🌌, 👆 💪 ✍ 🧾/ℹ 📁 & 👀 🔀 🖖. #### 🏎 ✳ (📦)
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docs/fr/docs/tutorial/path-params.md
!!! tip "Astuce" Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning. ### Déclarer un paramètre de chemin Créez ensuite un *paramètre de chemin* avec une annotation de type désignant l'énumération créée précédemment (`ModelName`) : ```Python hl_lines="16"
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docs/en/docs/advanced/behind-a-proxy.md
server["Server on http://127.0.0.1:8000/app"] browser --> proxy proxy --> server ``` !!! tip The IP `0.0.0.0` is commonly used to mean that the program listens on all the IPs available in that machine/server. The docs UI would also need the OpenAPI schema to declare that this API `server` is located at `/api/v1` (behind the proxy). For example: ```JSON hl_lines="4-8" { "openapi": "3.1.0",
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docs/en/docs/tutorial/first-steps.md
In the output, there's a line with something like: ```hl_lines="4" INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` That line shows the URL where your app is being served, in your local machine. ### Check it Open your browser at <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>. You will see the JSON response as: ```JSON {"message": "Hello World"}
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docs/pt/docs/contributing.md
<div class="termy"> ```console $ python ./scripts/docs.py live <span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008 <span style="color: green;">[INFO]</span> Start watching changes <span style="color: green;">[INFO]</span> Start detecting changes ``` </div> Isso irá servir a documentação em `http://127.0.0.1:8008`.
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docs/de/docs/contributing.md
<div class="termy"> ```console $ python ./scripts/docs.py live <span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008 <span style="color: green;">[INFO]</span> Start watching changes <span style="color: green;">[INFO]</span> Start detecting changes ``` </div> Das stellt die Dokumentation unter `http://127.0.0.1:8008` bereit.
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docs/en/docs/help-fastapi.md
You can "watch" FastAPI in GitHub (clicking the "watch" button at the top right): <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">https://github.com/tiangolo/fastapi</a>. 👀 If you select "Watching" instead of "Releases only" you will receive notifications when someone creates a new issue or question. You can also specify that you only want to be notified about new issues, or discussions, or PRs, etc.
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docs/en/data/external_links.yml
Articles: English: - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/ title: Building a Machine Learning Microservice with FastAPI - author: Ravgeet Dhillon - Twilio link: https://www.twilio.com/en-us/blog/booking-appointments-twilio-notion-fastapi title: Booking Appointments with Twilio, Notion, and FastAPI - author: Abhinav Tripathi - Microsoft Blogs
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