added examples and other changes

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+examples/0014.png filter=lfs diff=lfs merge=lfs -text
+examples/0055.png filter=lfs diff=lfs merge=lfs -text
+examples/0083.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -45,19 +45,26 @@ def yolov8_inference(
 
 inputs = [
     "image",
-    Dropdown(choices=["yolo/runs/detect/train10/weights/best.pt"], label="Model"),
-    Slider(minimum=320, maximum=1280, step=32, label="Image Size"),
-    Slider(minimum=0.0, maximum=1.0, step=0.05, label="Confidence Threshold"),
-    Slider(minimum=0.0, maximum=1.0, step=0.05, label="IOU Threshold"),
+    Dropdown(label="Model", choices=["yolo/runs/detect/train10/weights/best.pt"], value="yolo/runs/detect/train10/weights/best.pt", visible=False),
+    Slider(minimum=320, maximum=1280, step=32, value=640, label="Image Size"),
+    Slider(minimum=0.0, maximum=1.0, step=0.05, value=0.45, label="Confidence Threshold"),
+    Slider(minimum=0.0, maximum=1.0, step=0.05, value=0.25, label="IOU Threshold"),
 ]
 
 title = "Smartathon Pothole Challenge"
 
+examples = [
+    ["examples/0014.png", "yolo/runs/detect/train10/weights/best.pt", 640, 0.45, 0.25],
+    ["examples/0055.png", "yolo/runs/detect/train10/weights/best.pt", 640, 0.45, 0.25],
+    ["examples/0083.png", "yolo/runs/detect/train10/weights/best.pt", 640, 0.45, 0.25],
+]
+
 iface = gr.Interface(
     fn=yolov8_inference,
     inputs=inputs,
     outputs="image",
     title=title,
+    examples=examples,
     theme="default",
 )
 iface.launch(debug=True)