import numpy as np
from PIL import Image
import opennsfw2


MAX_PROBABILITY = 0.85

class NSFWPredictor:
    def __init__(self):
        self._predictor = opennsfw2.make_open_nsfw_model()

    def predict_frame(self, frame: np.ndarray) -> bool:
        image = Image.fromarray(frame)
        image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
        views = np.expand_dims(image, axis=0)
        _, probability = self._predictor.predict(views)[0]
        return probability > MAX_PROBABILITY

    def predict_image(self, image_path: str) -> bool:
        probability = opennsfw2.predict_image(image_path)
        return probability > MAX_PROBABILITY

    def predict_video(self, video_path: str, frame_interval: int = 100) -> bool:
        _, probabilities = opennsfw2.predict_video_frames(video_path, frame_interval=frame_interval)
        return any(prob > MAX_PROBABILITY for prob in probabilities)