Update app.py

app.py

@@ -14,8 +14,8 @@ from paddleocr import PaddleOCR
 import socket
 from send_email_user import send_user_email
 
-if not os.path.isdir('images'):
-    os.mkdir('images')
+# if not os.path.isdir('images'):
+#     os.mkdir('images')
 
 def get_device_ip_address():
 
@@ -101,7 +101,7 @@ def generate_ocr(Method,img):
             text_output = ocr_with_keras(img)
         if Method == 'PaddleOCR':
             text_output = ocr_with_paddle(img)
-        save_details(Method,text_output,img)
+        # save_details(Method,text_output,img)
 
         return text_output
         # hostname = socket.gethostname()
@@ -115,34 +115,34 @@ def generate_ocr(Method,img):
 """
 Save generated details
 """
-def save_details(Method,text_output,img):
-    method = []
-    img_path = []
-    text = []
-    input_img = ''
-    hostname = ''
-    picture_path = "image.jpg"    
-    curr_datetime = datetime.now().strftime('%Y-%m-%d %H-%M-%S')
-    if text_output:
-        splitted_path = os.path.splitext(picture_path)
-        modified_picture_path = splitted_path[0] + curr_datetime + splitted_path[1]
-        cv2.imwrite('images/'+ modified_picture_path, img)
-        input_img = 'images/'+ modified_picture_path
-        try:
-            df = pd.read_csv("AllDetails.csv")
-            df2 = {'method': Method, 'input_img': input_img, 'generated_text': text_output}
-            df = df.append(df2, ignore_index = True)
-            df.to_csv("AllDetails.csv", index=False)
-        except:
-            method.append(Method)
-            img_path.append(input_img)
-            text.append(text_output)
-            dict = {'method': method, 'input_img': img_path, 'generated_text': text}
-            df = pd.DataFrame(dict,index=None)
-            df.to_csv("AllDetails.csv")
+# def save_details(Method,text_output,img):
+#     method = []
+#     img_path = []
+#     text = []
+#     input_img = ''
+#     hostname = ''
+#     picture_path = "image.jpg"    
+#     curr_datetime = datetime.now().strftime('%Y-%m-%d %H-%M-%S')
+#     if text_output:
+#         splitted_path = os.path.splitext(picture_path)
+#         modified_picture_path = splitted_path[0] + curr_datetime + splitted_path[1]
+#         cv2.imwrite('images/'+ modified_picture_path, img)
+#         input_img = 'images/'+ modified_picture_path
+#         try:
+#             df = pd.read_csv("AllDetails.csv")
+#             df2 = {'method': Method, 'input_img': input_img, 'generated_text': text_output}
+#             df = df.append(df2, ignore_index = True)
+#             df.to_csv("AllDetails.csv", index=False)
+#         except:
+#             method.append(Method)
+#             img_path.append(input_img)
+#             text.append(text_output)
+#             dict = {'method': method, 'input_img': img_path, 'generated_text': text}
+#             df = pd.DataFrame(dict,index=None)
+#             df.to_csv("AllDetails.csv")
 
-        hostname = get_device_ip_address()
-    return send_user_email(input_img,hostname,text_output,Method)
+#         hostname = get_device_ip_address()
+#     return send_user_email(input_img,hostname,text_output,Method)
     # return hostname
 
 """