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.github/workflows/deploy-docs.yml
- name: Comment Deploy if: steps.deploy.outputs.url != '' uses: ./.github/actions/comment-docs-preview-in-pr with: token: ${{ secrets.FASTAPI_PREVIEW_DOCS_COMMENT_DEPLOY }}
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 19 01:33:28 GMT 2024 - 1.6K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**. In the next chapters, I'll give you more **concrete recipes** to deploy FastAPI applications.
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docs/pt/docs/deployment.md
Você pode gerar um projeto em cerca de 2 minutos. O projeto gerado tem instruções para fazer o _deploy_, fazendo isso leva outros 2 minutos. ## Alternativamente, faça o _deploy_ **FastAPI** sem Docker Você pode fazer o _deploy_ do **FastAPI** diretamente sem o Docker também. Você apenas precisa instalar um servidor ASGI compatível como: === "Uvicorn"
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docs/en/docs/deployment/cloud.md
# Deploy FastAPI on Cloud Providers You can use virtually **any cloud provider** to deploy your FastAPI application. In most of the cases, the main cloud providers have guides to deploy FastAPI with them. ## Cloud Providers - Sponsors Some cloud providers ✨ [**sponsor FastAPI**](../help-fastapi.md#sponsor-the-author){.internal-link target=_blank} ✨, this ensures the continued and healthy **development** of FastAPI and its **ecosystem**.
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docs/en/data/external_links.yml
title: Deploying ML Models as API Using FastAPI and Heroku - link: https://jarmos.netlify.app/posts/using-github-actions-to-deploy-a-fastapi-project-to-heroku/ title: Using GitHub Actions to Deploy a FastAPI Project to Heroku author_link: https://jarmos.netlify.app/ author: Somraj Saha - author: "@pystar" author_link: https://pystar.substack.com/
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Mar 21 20:57:27 GMT 2024 - 21.3K bytes - Viewed (2) -
docs/en/docs/deployment/index.md
# Deployment Deploying a **FastAPI** application is relatively easy. ## What Does Deployment Mean To **deploy** an application means to perform the necessary steps to make it **available to the users**. For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.
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.github/actions/comment-docs-preview-in-pr/app/main.py
github_api = "https://api.github.com" class Settings(BaseSettings): github_repository: str github_event_path: Path github_event_name: Union[str, None] = None input_token: SecretStr input_deploy_url: str class PartialGithubEventHeadCommit(BaseModel): id: str class PartialGithubEventWorkflowRun(BaseModel): head_commit: PartialGithubEventHeadCommit
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Jan 09 15:02:53 GMT 2024 - 2.1K bytes - Viewed (0) -
docs/id/docs/tutorial/index.md
!!! note "Catatan" Kamu juga dapat meng-installnya bagian demi bagian. Hal ini mungkin yang akan kamu lakukan ketika kamu hendak menyebarkan (men-deploy) aplikasimu ke tahap produksi: ``` pip install fastapi ``` Juga install `uvicorn` untuk menjalankan server" ``` pip install "uvicorn[standard]" ```
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docs/en/data/sponsors.yml
title: "Build, run and scale your apps on a modern, reliable, and secure PaaS." img: https://fastapi.tiangolo.com/img/sponsors/platform-sh.png - url: https://www.porter.run title: Deploy FastAPI on AWS with a few clicks img: https://fastapi.tiangolo.com/img/sponsors/porter.png - url: https://bump.sh/fastapi?utm_source=fastapi&utm_medium=referral&utm_campaign=sponsor
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.github/workflows/build-docs.yml
- requirements-docs.txt - pyproject.toml - mkdocs.yml - mkdocs.insiders.yml - .github/workflows/build-docs.yml - .github/workflows/deploy-docs.yml langs: needs: - changes runs-on: ubuntu-latest outputs: langs: ${{ steps.show-langs.outputs.langs }} steps: - uses: actions/checkout@v4 - name: Set up Python
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