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path: root/src/text_recognizer/character_predictor.py
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"""CharacterPredictor class."""

from typing import Tuple, Union

import numpy as np

from text_recognizer.models import CharacterModel
from text_recognizer.util import read_image


class CharacterPredictor:
    """Recognizes the character in handwritten character images."""

    def __init__(self) -> None:
        """Intializes the CharacterModel and load the pretrained weights."""
        self.model = CharacterModel()
        self.model.load_weights()
        self.model.eval()

    def predict(self, image_or_filename: Union[np.ndarray, str]) -> Tuple[str, float]:
        """Predict on a single images contianing a handwritten character."""
        if isinstance(image_or_filename, str):
            image = read_image(image_or_filename, grayscale=True)
        else:
            image = image_or_filename
        return self.model.predict_on_image(image)