from gliner import GLiNER

class EndpointHandler:
    def __init__(self, path=""):
        # Use the provided path for loading the model
        self.model = GLiNER.from_pretrained(path)

    def __call__(self, data):
        try:
            text = data.get("text", "")
            labels = data.get("labels", [])
            if not text or not labels:
                return {"error": "Please provide 'text' and 'labels'"}
            entities = self.model.predict(text, labels)
            return {"entities": entities}
        except Exception as e:
            return {"error": str(e)}