Please help me i am getting at the end of my program test

# now we will read images from the folder segment the images and will produce the output
for image_name in listdir('images'):
    counter = 1
    # constructing the name of the file 
    file_name = 'images/' + image_name

    # getting segmented images 
    letters_in_image = image_segmentation(file_name)
    
    # sorting the letters so that letters that appear before is addressed first 
    letters_in_image = sorted(letters_in_image, key=lambda x: x[0])
    
    ans = 
    for (x,y,w,h) in letters_in_image:
        image = cv2.imread(file_name,0)
        letter = image[y - 2:y + h + 2, x - 2:x + w + 2]
        
        cv2.imwrite(str(counter)+'.jpg', letter)
        counter = counter + 1
        
        letter  = resize(letter)/255
        X_test = np.asarray(letter)
        X_test = np.reshape(X_test, [-1,20,20,1])
        output = np.argmax(model.predict(X_test, verbose = 0))
        output = label_encoder.inverse_transform(output)
        ans +=output
    print(image no: , ans)

When running the code above, I am getting the following error:

 Traceback (most recent call last)
Input In [13], in cell line: 2()
     23     X_test = np.reshape(X_test, [-1,20,20,1])
     24     output = np.argmax(model.predict(X_test, verbose = 0))
--- 25     output = label_encoder.inverse_transform(output)
     26     ans +=output
     27 print(image no: , ans)

File ~/.local/lib/python3.8/site-packages/sklearn/preprocessing/_label.py:154, in LabelEncoder.inverse_transform(self, y)
    141 Transform labels back to original encoding.
    142 
    143 Parameters
   (...)
    151     Original encoding.
    152 
    153 check_is_fitted(self)
-- 154 y = column_or_1d(y, warn=True)
    155 # inverse transform of empty array is empty array
    156 if _num_samples(y) == 0:

File ~/.local/lib/python3.8/site-packages/sklearn/utils/validation.py:1038, in column_or_1d(y, warn)
   1029         warnings.warn(
   1030             A column-vector y was passed when a 1d array was
   1031              expected. Please change the shape of y to 
   (...)
   1034             stacklevel=2,
   1035         )
   1036     return np.ravel(y)
- 1038 raise ValueError(
   1039     y should be a 1d array, got an array of shape {} instead..format(shape)
   1040 )

ValueError: y should be a 1d array, got an array of shape () instead.