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Your indentation isn't probably def correct_skew(image, delta=0.5, limit=5):, The correct way for indentation:

    def correct_skew(image, delta=0.5, limit=5):
        def determine_score(arr, angle):
            data = inter.rotate(arr, angle, reshape=False, order=0)
            histogram = np.sum(data, axis=1)
            score = np.sum((histogram[1:] - histogram[:-1]) ** 2)
            return histogram, score   
        scores = []
        angles = np.arange(-limit, limit + delta, delta)
        for angle in angles:
            histogram, score = determine_score(image, angle)
            scores.append(score)
        best_angle = angles[scores.index(max(scores))] 

        return best_angle

img = cv2.imread(images_path,cv2.IMREAD_GRAYSCALE)
thresh = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1] 
angle = correct_skew(img)
(h, w) = img.shape[:2]
center = (w // 2, h // 2)
M = cv2.getRotationMatrix2D(center, angle, 1.0)
rotated = cv2.warpAffine(img, M, (w, h), flags=cv2.INTER_CUBIC, \
              borderMode=cv2.BORDER_REPLICATE)
cv2.imwrite(rotimages_path,rotated)

I solved problem. It is should be working. Your indentation isn't probably def correct_skew(image, delta=0.5, limit=5):, The correct way for indentation:

    def correct_skew(image, delta=0.5, limit=5):
        def determine_score(arr, angle):
            data = inter.rotate(arr, angle, reshape=False, order=0)
            histogram = np.sum(data, axis=1)
            score = np.sum((histogram[1:] - histogram[:-1]) ** 2)
            return histogram, score   
        scores = []
        angles = np.arange(-limit, limit + delta, delta)
        for angle in angles:
            histogram, score = determine_score(image, angle)
            scores.append(score)
        best_angle = angles[scores.index(max(scores))] 

        return best_angle

img = cv2.imread(images_path,cv2.IMREAD_GRAYSCALE)
thresh = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1] 
angle = correct_skew(img)
(h, w) = img.shape[:2]
center = (w // 2, h // 2)
M = cv2.getRotationMatrix2D(center, angle, 1.0)
rotated = cv2.warpAffine(img, M, (w, h), flags=cv2.INTER_CUBIC, \
              borderMode=cv2.BORDER_REPLICATE)
cv2.imwrite(rotimages_path,rotated)

I solved problem. It is should be working. Your indentation isn't probably def correct_skew(image, delta=0.5, limit=5):, The correct way for indentation:

    def correct_skew(image, delta=0.5, limit=5):
        def determine_score(arr, angle):
            data = inter.rotate(arr, angle, reshape=False, order=0)
            histogram = np.sum(data, axis=1)
            score = np.sum((histogram[1:] - histogram[:-1]) ** 2)
            return histogram, score   
        scores = []
        angles = np.arange(-limit, limit + delta, delta)
        for angle in angles:
            histogram, score = determine_score(image, angle)
            scores.append(score)
        best_angle = angles[scores.index(max(scores))] 

        return best_angle

img = cv2.imread(images_path,cv2.IMREAD_GRAYSCALE)
thresh = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1] 
angle = correct_skew(img)
(h, w) = img.shape[:2]
center = (w // 2, h // 2)
M = cv2.getRotationMatrix2D(center, angle, 1.0)
rotated = cv2.warpAffine(img, M, (w, h), flags=cv2.INTER_CUBIC, \
              borderMode=cv2.BORDER_REPLICATE)
cv2.imwrite(rotimages_path,rotated)