A contrived example of a Cog predictor that produces multiple outputs

cog-predictor-with-multiple-outputs.py

# https://github.com/replicate/cog/blob/main/docs/python.md#output

from cog import BasePredictor, BaseModel, File

class Output(BaseModel):
    image: File
    coords: str

class Predictor(BasePredictor):
    def predict(self, source_image: Path = Input(description="Image in which to detect objects")) -> Path:
        raw_coords = my_detector(source_image)
        coords = json.dumps(raw_coords, indent=2)
        image = Path(tempfile.mkdtemp()) / "demo.png"       
        
        return Output(coords=coords, image=image)