diff --git a/app.py b/app.py
index 90b8c93..5cabda2 100644
--- a/app.py
+++ b/app.py
@@ -10,59 +10,60 @@ root_api_url = 'http://{}/local'.format(sever)
 base_path = '/app/data/'
 
 print("API_ROOT: " + str(root_api_url))
+time.sleep(900)
 
-#try:
-while True:
-    r = requests.get('{}/anonymize'.format(root_api_url))
-    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
-    print(r.text)
-    response =  r.json()
+try:
+    while True:
+        r = requests.get('{}/anonymize'.format(root_api_url))
+        face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+        print(r.text)
+        response =  r.json()
 
-    for detection in response:
-        img_path = "{}{}".format(base_path, detection['source_image_path'])
+        for detection in response:
+            img_path = "{}{}".format(base_path, detection['source_image_path'])
 
-        #Skip Non existing files
-        if (not os.path.exists(img_path)):
-            continue
+            #Skip Non existing files
+            if (not os.path.exists(img_path)):
+                continue
 
-        img = cv2.imread(img_path)
-        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-        faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
+            img = cv2.imread(img_path)
+            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+            faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
 
-        #Count faces  is null dont anonimize file
-        if (len(faces) < 0):
-            continue
+            #Count faces  is null dont anonimize file
+            if (len(faces) < 0):
+                continue
+            
+            i = 0
+            for (x, y, w, h) in faces:
+                confidence = float(weights[i])
+                if (confidence > treashold):
+                    face_roi = img[y:y+h, x:x+w]
+                    blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 50)
+                    img[y:y+h, x:x+w] = blurred_face
+
+                    print(weights[i])
+                    text = "{}".format(weights[i])
+                    #cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
+                    #cv2.putText(img, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
+
+                i = i +1
+            
+            extension = img_path[img_path.index(".")+1:]
+            new_img_path = img_path.replace((".{}".format(extension)), ('_anonym.{}'.format(extension)))
+            cv2.imwrite(new_img_path, img)
+
+            data = {
+                "id": detection['id'],
+                "source_image_path": new_img_path.replace(base_path,"")
+            }
+            response = requests.post('{}/anonymize'.format(root_api_url), json=data)
         
-        i = 0
-        for (x, y, w, h) in faces:
-            confidence = float(weights[i])
-            if (confidence > treashold):
-                face_roi = img[y:y+h, x:x+w]
-                blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 50)
-                img[y:y+h, x:x+w] = blurred_face
+        time.sleep(900)
 
-                print(weights[i])
-                text = "{}".format(weights[i])
-                #cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
-                #cv2.putText(img, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
-
-            i = i +1
-        
-        extension = img_path[img_path.index(".")+1:]
-        new_img_path = img_path.replace((".{}".format(extension)), ('_anonym.{}'.format(extension)))
-        cv2.imwrite(new_img_path, img)
-
-        data = {
-            "id": detection['id'],
-            "source_image_path": new_img_path.replace(base_path,"")
-        }
-        response = requests.post('{}/anonymize'.format(root_api_url), json=data)
+except Exception as e:
+    print("An exception occurred")
+    print(str(e))
     
-    time.sleep(900)
-
-# except Exception as e:
-#     print("An exception occurred")
-#     print(str(e))
-    
-#     data = {"trace": str(e)}
-#     response = requests.post('{}/log'.format(root_api_url), json=data)
\ No newline at end of file
+    data = {"trace": str(e)}
+    response = requests.post('{}/log'.format(root_api_url), json=data)
\ No newline at end of file