Update app.py

app.py

@@ -79,7 +79,7 @@ def get_grayscale(image):
 # Thresholding or Binarization
 def thresholding(src):
  return cv2.threshold(src,127,255, cv2.THRESH_TOZERO)[1]
-
+readme.txt
 def ocr_with_easy(img):
  gray_scale_image=get_grayscale(img)
  thresholding(gray_scale_image)
@@ -97,7 +97,7 @@ def generate_ocr(Method,img):
  
  print("Method___________________",Method)
  if Method == 'EasyOCR':
- text_output = ocr_with_easy(img)
+ text_output = ocr_withreadme.txt_easy(img)
  if Method == 'KerasOCR':
  text_output = ocr_with_keras(img)
  if Method == 'PaddleOCR':
@@ -127,11 +127,12 @@ def save_details(Method,text_output,img):
  if text_output:
  splitted_path = os.path.splitext(picture_path)
  modified_picture_path = splitted_path[0] + curr_datetime + splitted_path[1]
- # cv2.imwrite("/home/user/app/",modified_picture_path, img)
- with open('/home/user/app/readme.txt', 'a') as f:
+ cv2.imwrite("myimage.jpg", img)
+ with open('readme.txt', 'w') as f:
  f.write(picture_path)
- img = Image.open(r"/home/user/app/")
- img.save(modified_picture_path)
+ print("write Successfully")
+ # img = Image.open(r"/home/user/app/")
+ # img.save(modified_picture_path)
  input_img = modified_picture_path
  try:
  df = pd.read_csv("AllDetails.csv")