Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import torch
 import cv2
 import gradio as gr
@@ -16,16 +15,20 @@ def detect_objects(image, confidence_threshold):
     annotated_frame = results[0].plot()
     return annotated_frame
 
-# Create Gradio interface with slider
+# Create Gradio interface with slider and root-level examples
 gr.Interface(
     fn=detect_objects,
     inputs=[
         gr.Image(type="numpy", label="Upload Coral Image"),
         gr.Slider(0.0, 1.0, value=0.25, label="Confidence Threshold", 
-                 info="Lower = more sensitive, Higher = fewer false positives")
+                  info="Lower = more sensitive, Higher = fewer false positives")
     ],
     outputs=gr.Image(type="numpy", label="Analysis Results"),
     title="🪸 Muraka - AI Doctor for Corals",
     description="Upload coral images to assess health status. Adjust confidence threshold to control detection sensitivity.",
+    examples=[
+        ["band_disease.jpg", 0.25],
+        ["bleached_coral_2.jpg", 0.25],
+    ],
     allow_flagging="never"
-).launch()
+).launch()