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.github/workflows/test-redistribute.yml
- name: Decompress source distribution run: | cd dist tar xvf fastapi*.tar.gz - name: Install test dependencies run: | cd dist/fastapi*/ pip install -r requirements-tests.txt - name: Run source distribution tests run: | cd dist/fastapi*/ bash scripts/test.sh - name: Build wheel distribution
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docs/de/docs/project-generation.md
* **spaCy** NER-Modellintegration. * **Azure Cognitive Search**-Anforderungsformat integriert. * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn. * **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert. * **Mehrsprachig** Wählen Sie bei der Projekteinrichtung ganz einfach eine der integrierten Sprachen von spaCy aus.
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docs/fr/docs/project-generation.md
* Intégration d'un modèle NER **spaCy**. * Formatage de requête pour **Azure Cognitive Search**. * Serveur Python web **prêt à utiliser en production** utilisant Uvicorn et Gunicorn. * Déploiement CI/CD Kubernetes pour **Azure DevOps** (AKS). * **Multilangues**. Choisissez facilement l'une des langues intégrées à spaCy durant la mise en place du projet.
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docs/en/docs/contributing.md
!!! tip Alternatively, you can perform the same steps that scripts does manually. Go into the language directory, for the main docs in English it's at `docs/en/`: ```console $ cd docs/en/ ``` Then run `mkdocs` in that directory: ```console $ mkdocs serve --dev-addr 8008 ``` #### Typer CLI (optional)
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docs/en/docs/project-generation.md
- 🚢 Deployment instructions using Docker Compose, including how to set up a frontend Traefik proxy to handle automatic HTTPS certificates.
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docs/de/docs/contributing.md
Gehen Sie in das Verzeichnis für die entsprechende Sprache. Das für die englischsprachige Hauptdokumentation befindet sich unter `docs/en/`: ```console $ cd docs/en/ ``` Führen Sie dann `mkdocs` in diesem Verzeichnis aus: ```console $ mkdocs serve --dev-addr 8008 ``` #### Typer-CLI (optional)
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docs/tr/docs/project-generation.md
* **spaCy** NER model entegrasyonu. * **Azure Cognitive Search** yerleşik istek biçimi. * Uvicorn ve Gunicorn ile **Production ready** Python web server'ı. * Dahili **Azure DevOps** Kubernetes (AKS) CI/CD deployment. * **Multilingual**, Proje kurulumu sırasında spaCy'nin yerleşik dillerinden birini kolayca seçin.
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docs/ru/docs/project-generation.md
* Встроенный формат запросов к **когнитивному поиску Azure**. * **Готовый к реальной работе** веб-сервер Python использующий Uvicorn и Gunicorn. * Встроенное развёртывание на основе **Azure DevOps** Kubernetes (AKS) CI/CD. * **Многоязычность**. Лёгкий выбор одного из встроенных в spaCy языков во время настройки проекта.
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docs/zh/docs/project-generation.md
### FastAPI + spaCy 机器学习模型 - 功能 * 集成 **spaCy** NER 模型 * 内置 **Azure 认知搜索**请求格式 * **生产可用**的 Python 网络服务器,使用 Uvicorn 与 Gunicorn * 内置 **Azure DevOps** Kubernetes (AKS) CI/CD 开发 * **多语**支持,可在项目设置时选择 spaCy 内置的语言
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docs/zh/docs/contributing.md
``` </div> 文档服务将运行在 `http://127.0.0.1:8008`。 这样,你可以编辑文档 / 源文件并实时查看更改。 !!! tip 或者你也可以手动执行和该脚本一样的操作 进入语言目录,如果是英文文档,目录则是 `docs/en/`: ```console $ cd docs/en/ ``` 在该目录执行 `mkdocs` 命令 ```console $ mkdocs serve --dev-addr 8008 ``` #### Typer CLI (可选) 本指引向你展示了如何直接用 `python` 运行 `./scripts/docs.py` 中的脚本。
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