https://github.com/iobruno/fastapi-tfserve

Tensorflow-based Object Detection on the CIFAR-10 dataset, served with FastAPI
https://github.com/iobruno/fastapi-tfserve

cifar-10 cifar-10-classifier fastapi tensorflow2

Last synced: 6 months ago
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Tensorflow-based Object Detection on the CIFAR-10 dataset, served with FastAPI

• Host: GitHub
• URL: https://github.com/iobruno/fastapi-tfserve
• Owner: iobruno
• License: cc-by-sa-4.0
• Created: 2022-06-04T03:43:31.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2025-02-09T16:47:26.000Z (8 months ago)
• Last Synced: 2025-04-01T21:05:44.864Z (6 months ago)
• Topics: cifar-10, cifar-10-classifier, fastapi, tensorflow2
• Language: Python
• Homepage:
• Size: 12.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# FastAPI TensorFlow Serving

![Python](https://img.shields.io/badge/Python-3.12-4B8BBE.svg?style=flat&logo=python&logoColor=FFD43B&labelColor=306998)

[![TensorFlow](https://img.shields.io/badge/TensorFlow-2.18-FF7400.svg?style=flat&logo=tensorflow&logoColor=FF7400&labelColor=212121)](https://www.tensorflow.org/guide)

[![FastAPI](https://img.shields.io/badge/FastAPI-0.115-009688.svg?style=flat&logo=FastAPI&logoColor=009688&labelColor=212121)](https://fastapi.tiangolo.com/tutorial/)

[![uv](https://img.shields.io/badge/astral/uv-261230?style=flat&logo=uv&logoColor=DE5FE9&labelColor=261230)](https://docs.astral.sh/uv/getting-started/installation/)

[![Docker](https://img.shields.io/badge/Docker-329DEE?style=flat&logo=docker&logoColor=white&labelColor=329DEE)](https://docs.docker.com/get-docker/)

![License](https://img.shields.io/badge/license-CC--BY--SA--4.0-31393F?style=flat&logo=creativecommons&logoColor=black&labelColor=white)

GitHub project for Tensorflow-based Object Detection on the CIFAR-10 dataset, served with FastAPI.

## Getting Started

**1.** Install dependencies from pyproject.toml and activate the created virtualenv:

```shell

uv sync && source .venv/bin/activate

```

**2.** Start the app with `gunicorn` with:

```shell

make run

```

**3.** Access the Swagger UI at:

```shell

open http://localhost:8080

```

## Containerization

**1.** Build the Docker Image with:

```shell

make docker-image

```

**2.** Spin up the container with:

```shell

make docker-run

```

**3.** Access the Swagger UI at:

```

open http://localhost:8000

```

## TODO's:

- [x] PEP-517: Packaging and dependency management with `uv`

- [x] Code format/lint with Ruff

- [x] Run on Docker

- [ ] Serve it with Streamlit

- [ ] GitHub CI