Fast API + Uvicorn

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Fast API + Uvicorn is a Coding & Development tool that provides a template for building and deploying fast APIs on Hugging Face Spaces. It utilizes FastAPI and Uvicorn to create web applications.

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Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

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About

What is Fast API + Uvicorn?

Fast API + Uvicorn is a template available on Hugging Face Spaces, designed to streamline the process of building and deploying high-performance APIs. It leverages the FastAPI framework for rapid development and Uvicorn as the ASGI server for efficient execution. This template is particularly useful for developers looking to quickly set up web applications with robust API functionalities. While the current live website indicates a runtime error, the underlying concept is to provide a ready-to-use environment for creating and hosting AI-powered or general web services.

Best used for

Ideal for developers who need to quickly build and deploy high-performance APIs, create web applications, and prototype web services. Especially valuable for those working within the Hugging Face ecosystem or seeking an open-source solution for API development.

Common actions

build APIs

deploy web applications

prototype web services

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Capabilities

Key features

FastAPI framework
Uvicorn ASGI server
Hugging Face Spaces template
MIT licensed

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Does this template include a database or persistence layer out-of-the-box?

No, the Fast API + Uvicorn template focuses on the API framework and server. You would need to integrate your preferred database solution (e.g., SQLite, PostgreSQL, MongoDB) separately into your FastAPI application.

Can I use this Hugging Face Spaces template for commercial projects?

Yes, since both FastAPI and Uvicorn are MIT licensed, you can use this template and the underlying technologies for commercial projects without licensing fees. Always verify the licenses of any additional libraries you integrate.

What are the typical limitations or resource constraints when deploying this template on Hugging Face Spaces?

Hugging Face Spaces offers different tiers with varying CPU, RAM, and GPU resources. Performance will depend on your chosen Space hardware and the complexity of your API. For heavy AI models, you might need a higher-tier GPU Space.

How do I add custom Python dependencies to my FastAPI application within this Hugging Face Spaces template?

You can add your custom Python dependencies by including them in a `requirements.txt` file in the root of your Hugging Face Space repository. Spaces will automatically install these dependencies upon deployment or restart.

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