Update app.py

app.py

@@ -4,6 +4,7 @@ import cv2
 import pandas as pd
 import smtplib
 from datetime import datetime, timedelta
+import datetime
 
 # Load pre-trained model
 model_name = "hustvl/yolos-small"
@@ -27,10 +28,14 @@ def detect_number_plates(image):
     
     return number_plates
 
-   def save_to_excel(number_plates):
+def detect_number_plates(image):
+    # Your code here
+    pass
+
+def save_to_excel(number_plates):
     # Create a pandas DataFrame
     df = pd.DataFrame({
-        "Date": [datetime.now().strftime("%Y-%m-%d %H:%M:%S") for _ in range(len(number_plates))],
+        "Date": [datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") for _ in range(len(number_plates))],
         "Number Plate": [f"{x1}, {y1}, {x2}, {y2}" for x1, y1, x2, y2 in number_plates]
     })
     
@@ -41,6 +46,7 @@ def detect_number_plates(image):
         combined_df.to_excel("number_plates.xlsx", index=False)
     except FileNotFoundError:
         df.to_excel("number_plates.xlsx", index=False)
+
 def monitor_vehicles(number_plates):
     # Load registered number plates from a file or database
     registered_plates = pd.read_csv("registered_plates.csv")["Number Plate"].tolist()