Asep Haryana SaputraandClaude Opus 4.7
3b0416b946
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
819 B
819 B
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"