diff --git a/Dockerfile b/Dockerfile
index c9e13a2..fc55430 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -56,4 +56,4 @@ LABEL links='{\
     }'
 LABEL requirements="core >= 1.1"
 
-ENTRYPOINT python /app/main.py 
+ENTRYPOINT ["python", "-u", "/app/main.py"]
diff --git a/app/.DS_Store b/app/.DS_Store
index ec0a2f8..c8da6c3 100644
Binary files a/app/.DS_Store and b/app/.DS_Store differ
diff --git a/app/main.py b/app/main.py
index 42c7a3f..0f17dd3 100644
--- a/app/main.py
+++ b/app/main.py
@@ -23,51 +23,51 @@ def main():
     print("main started")
     while (logging_active == True): # Main loop for logging data
         print("in while")
-        try: # Send GET requests to the REST APIs
-            print("in try")
-            distance_response = requests.get(distance_url)
-            gps_response = requests.get(gps_url)
-            yaw_response = requests.get(yaw_url)
-            if distance_response.status_code == 200 and gps_response.status_code == 200 and yaw_response.status_code == 200: # Check if the requests were successful
-                print("data good")
-                distance_data = distance_response.json()['message'] # Extract the data from the responses
-                gps_data = gps_response.json()['message']
-                yaw_data = yaw_response.json()['message']
-                column_labels = ['Unix Timestamp', 'Date', 'Time','Distance (cm)', 'Confidence (%)', 'Yaw (deg)','Latitude', 'Longitude']
-                timestamp = int(time.time() * 1000)  # Convert current time to milliseconds
-                dt = datetime.fromtimestamp(timestamp / 1000)  # Convert timestamp to datetime object 
-                unix_timestamp = timestamp
-                timenow = dt.strftime('%H:%M:%S')
-                date = dt.strftime('%m/%d/%y')
-                distance = distance_data['current_distance']
-                confidence = distance_data['signal_quality']
-                yawRad = yaw_data['yaw']
-                yawDeg = math.degrees(yawRad)
-                yaw = round(((yawDeg + 360) % 360),2)
-                latitude = gps_data['lat'] / 1e7
-                longitude = gps_data['lon'] / 1e7
-                data = [unix_timestamp, date, timenow, distance, confidence, yaw, latitude, longitude]
-                with open(log_file, 'a', newline='') as csvfile: # Create or append to the log file and write the data
-                    writer = csv.writer(csvfile)
-                    if csvfile.tell() == 0: # Write the column labels as the header row (only for the first write)
-                        writer.writerow(column_labels)
-                    writer.writerow(data) # Write the data as a new row
-                    row_counter += 1 # Increment the row counter
+        #try: # Send GET requests to the REST APIs
+        print("in try")
+        distance_response = requests.get(distance_url)
+        gps_response = requests.get(gps_url)
+        yaw_response = requests.get(yaw_url)
+        if distance_response.status_code == 200 and gps_response.status_code == 200 and yaw_response.status_code == 200: # Check if the requests were successful
+            print("data good")
+            distance_data = distance_response.json()['message'] # Extract the data from the responses
+            gps_data = gps_response.json()['message']
+            yaw_data = yaw_response.json()['message']
+            column_labels = ['Unix Timestamp', 'Date', 'Time','Distance (cm)', 'Confidence (%)', 'Yaw (deg)','Latitude', 'Longitude']
+            timestamp = int(time.time() * 1000)  # Convert current time to milliseconds
+            dt = datetime.fromtimestamp(timestamp / 1000)  # Convert timestamp to datetime object 
+            unix_timestamp = timestamp
+            timenow = dt.strftime('%H:%M:%S')
+            date = dt.strftime('%m/%d/%y')
+            distance = distance_data['current_distance']
+            confidence = distance_data['signal_quality']
+            yawRad = yaw_data['yaw']
+            yawDeg = math.degrees(yawRad)
+            yaw = round(((yawDeg + 360) % 360),2)
+            latitude = gps_data['lat'] / 1e7
+            longitude = gps_data['lon'] / 1e7
+            data = [unix_timestamp, date, timenow, distance, confidence, yaw, latitude, longitude]
+            with open(log_file, 'a', newline='') as csvfile: # Create or append to the log file and write the data
+                writer = csv.writer(csvfile)
+                if csvfile.tell() == 0: # Write the column labels as the header row (only for the first write)
+                    writer.writerow(column_labels)
+                writer.writerow(data) # Write the data as a new row
+                row_counter += 1 # Increment the row counter
 
-            else:
-                # Print an error message if any of the requests were unsuccessful
-                print(f"Error: Ping2 Data - {distance_response.status_code} - {distance_response.reason}")
-                print(f"Error: GPS Data - {gps_response.status_code} - {gps_response.reason}")
-                print(f"Error: Attitude Data - {yaw_response.status_code} - {yaw_response.reason}")
+        else:
+            # Print an error message if any of the requests were unsuccessful
+            print(f"Error: Ping2 Data - {distance_response.status_code} - {distance_response.reason}")
+            print(f"Error: GPS Data - {gps_response.status_code} - {gps_response.reason}")
+            print(f"Error: Attitude Data - {yaw_response.status_code} - {yaw_response.reason}")
 
-            if row_counter % (log_rate * feedback_interval) == 0:
-                print(f"Rows added to CSV: {row_counter}")
-                 
-            time.sleep(1 / log_rate)
+        if row_counter % (log_rate * feedback_interval) == 0:
+            print(f"Rows added to CSV: {row_counter}")
+                
+        time.sleep(1 / log_rate)
 
-        except Exception as e:
-            print(f"An error occurred: {e}")
-            break
+        #except Exception as e:
+        #    print(f"An error occurred: {e}")
+        #    break
 
 @app.route('/')
 def home():