zeavis-edu/apps/ml-service

ZeaVis ML Service

FastAPI service for serving corn leaf disease predictions from the trained Keras model.

Setup

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

The default model path is ../../Machine_Learning/best_model/best_model.keras. Override it with MODEL_PATH if needed.

Run

uvicorn main:app --host 0.0.0.0 --port 8001

Endpoints

• GET /health — service status and model loaded status.
• GET /metadata — service name, version, labels, input size, model path, and model loaded status.
• POST /predict — multipart image upload for disease classification.

Verify

curl http://localhost:8001/health
curl http://localhost:8001/metadata
curl -X POST http://localhost:8001/predict -F "file=@/path/to/corn-leaf.jpg"