34 lines
819 B
Markdown
34 lines
819 B
Markdown
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# ZeaVis ML Service
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FastAPI service for serving corn leaf disease predictions from the trained Keras model.
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## Setup
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```bash
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python -m venv .venv
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source .venv/bin/activate
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pip install -r requirements.txt
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```
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The default model path is `../../Machine_Learning/best_model/best_model.keras`. Override it with `MODEL_PATH` if needed.
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## Run
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```bash
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uvicorn main:app --host 0.0.0.0 --port 8001
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```
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## Endpoints
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- `GET /health` — service status and model loaded status.
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- `GET /metadata` — service name, version, labels, input size, model path, and model loaded status.
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- `POST /predict` — multipart image upload for disease classification.
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## Verify
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```bash
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curl http://localhost:8001/health
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curl http://localhost:8001/metadata
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curl -X POST http://localhost:8001/predict -F "file=@/path/to/corn-leaf.jpg"
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```
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