import fal

class FalModel():
    def __init__(self, model_name, model_type):
        self.model_name = model_name
        self.modle_type = model_type
    
    def __call__(self, *args, **kwargs):
        
        if self.model_type == "text2image":
            assert "prompt" in kwargs, "prompt is required for text2image model"
            handler = fal.apps.submit(
                f"fal-ai/{self.model_name}",
                arguments={
                    "prompt": kwargs["prompt"]
                },
            )
            
            for event in handler.iter_events():
                if isinstance(event, fal.apps.InProgress):
                    print('Request in progress')
                    print(event.logs)

            result = handler.get()
            return result
        elif self.model_type == "image2image":
            assert "image" in kwargs or "image_url" in kwargs, "image or image_url is required for image2image model"
            if "image" in kwargs:
                image_url = None
                pass
            handler = fal.apps.submit(
                f"fal-ai/{self.model_name}",
                arguments={
                    "image_url": image_url
                },
            )
            
            for event in handler.iter_events():
                if isinstance(event, fal.apps.InProgress):
                    print('Request in progress')
                    print(event.logs)

            result = handler.get()
            return result
        elif self.model_type == "text2video":
            raise NotImplementedError("text2video model is not implemented yet")
        else:
            raise ValueError("model_type must be text2image or image2image")

def load_fal_model(model_name, model_type):
    return FalModel(model_name, model_type)