Update app.py

app.py

@@ -12,14 +12,15 @@ def get_predictions(img, threshold, box_color, text_color):
     v8_frame = yolov8_detector.plot_bboxes(v8_results, img, float(threshold), box_color, text_color)
     return v8_frame
 
-# Load the YOLOv8 model for plant leaf detection and classification
-yolov8_detector = ObjectDetection('Yolov8')
+# Load the YOLOv8s model for plant leaf detection and classification
+yolov8_detector = ObjectDetection('Yolov8s')
 
-with gr.Blocks(title="Plant Leaf Detection and Classification", theme=gr.themes.DarkMode()) as interface:
-    # Add a header with a description of the app and the model used
+with gr.Blocks(title="Plant Leaf Detection and Classification", theme=gr.themes.Soft()) as interface:
     gr.Markdown("# Plant Leaf Detection and Classification")
-    gr.Markdown("This app uses YOLOv8, a state-of-the-art object detection model, to detect and classify plant leaves. "
-                "The model can detect leaves and classify them into up to 45 different plant categories.")
+    gr.Markdown("This app uses YOLOv8s, a powerful object detection model, to detect and classify plant leaves. "
+                "The model can detect various plant leaves and classify them into up to 45 different plant categories, "
+                "indicating whether they are diseased or healthy.")
+    gr.Markdown("If you like this app, don't forget to give it a thumbs up on Hugging Face!")
 
     with gr.Row():
         with gr.Column():