plant-disease-classification-api is a REST API project that aims to classify diseases on plants. It is based on the ML models available at https://github.com/abdullahselek/plant-disease-classification-models. I aimed to keep this API simple so there is only one endpoint available which is responsible from classification. I plan to add more advanced ML models in the future so endpoint is designed to support this. API has available Swagger interface for quick tests and documentation. After you launch the project it will be available on docs.

• Installation
• Requirements
• Running tests
• Running
• License

The code is hosted at this repo. Check out the latest main version anonymously with:

git clone git://github.com/abdullahselek/plant-disease-classification-api.git
cd plant-disease-classification-api

• Python 3.6 or higher
• Python modules available in requirements.txt
• Installation using pip install -r requirements.txt

• Complete [requirements](#requirements) section
• Install test dependencies using pip install -r requirements.testing.txt
• Install local API module pip install -e .
• Run tests pytest -s -v tests/

Launch the API and documentation uvicorn plant_disease_classification_api.main:app, it will be available at http://127.0.0.1:8000.

Use uvicorn plant_disease_classification_api.main:app --host 0.0.0.0 to run API on a server.

MIT License