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")