diff --git a/Dockerfile b/Dockerfile
index e7abbea..188a1db 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -19,6 +19,6 @@ COPY . /app
 RUN pip install --no-cache-dir -r /app/requirements.txt
 
 # Start Anonimization
-CMD ["python", "-u","/app/app.py"]
+CMD ["python", "-u", "/app/app.py"]
 
 WORKDIR /app
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diff --git a/app.py b/app.py
index 8d1b1ba..72d487d 100644
--- a/app.py
+++ b/app.py
@@ -9,18 +9,18 @@ sever = os.getenv('API_ROOT', 'localhost:8000')
 root_api_url = 'http://{}/local'.format(sever)
 base_path = '/app/data/'
 
-print("API_ROOT: " + str(root_api_url))
+print("API_ROOT: " + str(root_api_url), flush=True)
 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)
+        # print(r.text, flush=True)
         response =  r.json()
 
         for detection in response:
-            print(str(detection['id']) + " Anonymization Started")
+            print(str(detection['id']) + " Anonymization Started", flush=True)
             
             img_path = "{}{}".format(base_path, detection['source_image_path'])
 
@@ -33,7 +33,7 @@ try:
             faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
 
             #Count faces  is null dont anonimize file
-            print(len(faces) + " Faces Found" )
+            print(len(faces) + " Faces Found" , flush=True)
             if (len(faces) < 0):
                 continue
             
@@ -45,7 +45,7 @@ try:
                     blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 50)
                     img[y:y+h, x:x+w] = blurred_face
 
-                    print(weights[i])
+                    print(weights[i], flush=True)
                     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)
@@ -61,15 +61,15 @@ try:
                 "source_image_path": new_img_path.replace(base_path,"")
             }
             response = requests.post('{}/anonymize'.format(root_api_url), json=data)
-            print(str(detection['id']) + " Anonymized" )
+            print(str(detection['id']) + " Anonymized" , flush=True)
             time.sleep(5)
         
-        print("sleep")
+        print("sleep", flush=True)
         time.sleep(900)
 
 except Exception as e:
-    print("An exception occurred")
-    print(str(e))
+    print("An exception occurred", flush=True)
+    print(str(e), flush=True)
     
     data = {"trace": str(e)}
     response = requests.post('{}/log'.format(root_api_url), json=data)
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