import copy

from surya.detection import batch_text_detection
from surya.input.load import load_from_folder, load_from_file
from surya.layout import batch_layout_detection
from surya.model.detection.model import load_model, load_processor
from surya.postprocessing.heatmap import draw_polys_on_image
from surya.settings import settings
import os

def main(input_path, max_pages=None):

    model = load_model(checkpoint=settings.LAYOUT_MODEL_CHECKPOINT)
    processor = load_processor(checkpoint=settings.LAYOUT_MODEL_CHECKPOINT)
    det_model = load_model()
    det_processor = load_processor()

    if os.path.isdir(input_path):
        images, names = load_from_folder(input_path, max_pages)

    else:
        images, names = load_from_file(input_path, max_pages)


    line_predictions = batch_text_detection(images, det_model, det_processor)

    layout_predictions = batch_layout_detection(images, model, processor, line_predictions)


    for idx, (image, layout_pred, name) in enumerate(zip(images, layout_predictions, names)):
        polygons = [p.polygon for p in layout_pred.bboxes]
        labels = [p.label for p in layout_pred.bboxes]
        bbox_image = draw_polys_on_image(polygons, copy.deepcopy(image), labels=labels)
        return bbox_image