Update app.py

app.py

@@ -4,9 +4,9 @@ from PIL import Image
 import numpy as np
 import cv2
 
-# Load the pre-trained YOLOv5 model
-# Use 'yolov5s' or any available YOLO model from ultralytics
-model = YOLO('yolov5s')  # Change to a leaf disease detection model if available
+# This should download the model if not available locally
+model = YOLO('yolov8n.pt')  # Using a YOLOv8 model which is often smaller and compatible
+  # Change to a leaf disease detection model if available
 
 def identify_disease(image):
     # Convert the image to RGB if it's not