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https://github.com/microsoft/cookiecutter-spacy-fastapi

Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker
https://github.com/microsoft/cookiecutter-spacy-fastapi

azure-search cognitive-search fastapi natural-language-processing spacy

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Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker

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README

        

# cookiecutter-spacy-fastapi

Python cookiecutter API for quick deployments of spaCy models with FastAPI

## Azure Search
The API interface is compatible with Azure Search Cognitive Skills.

For instructions on adding your API as a Custom Cognitive Skill in Azure Search see:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-interface

## Requirements
- Python >= 3.6 with pip installed

## Quickstart

### Install the latest [Cookiecutter](https://github.com/audreyr/cookiecutter) if you haven't installed it yet (this requires Cookiecutter 1.4.0 or higher):
```
pip install --user cookiecutter
```

### Point cookiecutter to this GitHub repository to automatically download and generate your project

```
cookiecutter https://github.com/Microsoft/cookiecutter-azure-search-cognitive-skill
```

View the README.md of your new project for instructions on next steps

## Resources
This project has two key dependencies:

| Dependency Name | Documentation | Description |
|-----------------|------------------------------|----------------------------------------------------------------------------------------|
| spaCy | https://spacy.io | Industrial-strength Natural Language Processing (NLP) with Python and Cython |
| FastAPI | https://fastapi.tiangolo.com | FastAPI framework, high performance, easy to learn, fast to code, ready for production |

# Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [[email protected]](mailto:[email protected]) with any additional questions or comments.