text: import glob
  
  import pytesseract
  from PIL import Image
  # class TextExtractor:
  #     def extract_text(img):
  pytesseract.pytesseract.tesseract_cmd = r"C:\Users\Jeremy\AppData\Local\Tesseract-OCR\tesseract.exe"
  
  files = glob.glob("dsfasdf/test_photos/*")
  
  if len(files) == 0:
      print(f"No files found")
  else:
      for filename in files:
          print(filename)
          image = Image.open(filename)
          text = pytesseract.image_to_string(image)
          print(text)
  # text = pytesseract.image_to_string(Image.open(r'C:\Users\Jeremy\Documents\Code\acnh-item-ocr\backend\test_photos\20200625_175157.jpg'))
  # print(text)
  
  
  
  ### Find the most similar item sentence to what the OCR outputs, and we can assume this is the item