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Text Recognition with Python using tesserocr library

I am trying to capture a text from an image, and I am using this script below (script source)

import cv2
import numpy as np
import tesserocr
from PIL import Image

# Path of working folder on Disk
src_path = "C:/Users/fyunu/OneDrive/Masaüstü/a.png"

def get_string(img_path):
# Read image with opencv
img = cv2.imread(img_path)

# Convert to gray
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Apply dilation and erosion to remove some noise
kernel = np.ones((1, 1), np.uint8)
img = cv2.dilate(img, kernel, iterations=1)
img = cv2.erode(img, kernel, iterations=1)

# Write image after removed noise
cv2.imwrite(src_path + "removed_noise.png", img)

# Apply threshold to get image with only black and white
#img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)

# Write the image after apply opencv to do some ...
cv2.imwrite(src_path + "thres.png", img)

# Recognize text with tesseract for python
result = tesserocr.image_to_string(Image.open(src_path + "thres.png"))

# Remove template file
#os.remove(temp)

return result


print ('--- Start recognize text from image ---')
print (get_string(src_path + "2.png"))

print ("------ Done -------")


However, I am having this error:
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

"error: OpenCV(3.4.1) C:Miniconda3conda-bldopencv-suite_1533128839831workmodulesimgprocsrccolor.cpp:11147: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor"

How can I solve this problem?
Thanks a lot.

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