Python cookiecutter API for quick deployments of spaCy models with FastAPI
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
- Python >= 3.6 with pip installed
Install the latest Cookiecutter if you haven't installed it yet (this requires Cookiecutter 1.4.0 or higher):
pip install --user cookiecutter
cookiecutter https://github.com/Microsoft/cookiecutter-azure-search-cognitive-skill
View the README.md of your new project for instructions on next steps
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 |
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. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.