replaced with new model -bestn.pt

app.py

@@ -1,39 +1,39 @@
-from ultralytics import YOLO
-import gradio as gr
-import PIL.Image as Image
-
-path="best.pt"
-
-model=YOLO(path)
-
-def predict_image(img, conf_threshold, iou_threshold):
-    """Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
-    results = model.predict(
-        source=img,
-        conf=conf_threshold,
-        iou=iou_threshold,
-        show_labels=True,
-        show_conf=True,
-        imgsz=640,
-    )
-
-    for r in results:
-        im_array = r.plot()
-        im = Image.fromarray(im_array[..., ::-1])
-
-    return im
-
-
-iface = gr.Interface(
-    fn=predict_image,
-    inputs=[
-        gr.Image(type="pil", label="Upload Image"),
-        gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence threshold"),
-        gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold"),
-    ],
-    outputs=gr.Image(type="pil", label="Result"),
-    title="Object tetection Gradio",
-    description="Upload images for inference.",
-)
-
+from ultralytics import YOLO
+import gradio as gr
+import PIL.Image as Image
+
+path="bestn.pt"
+
+model=YOLO(path)
+
+def predict_image(img, conf_threshold, iou_threshold):
+    """Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
+    results = model.predict(
+        source=img,
+        conf=conf_threshold,
+        iou=iou_threshold,
+        show_labels=True,
+        show_conf=True,
+        imgsz=640,
+    )
+
+    for r in results:
+        im_array = r.plot()
+        im = Image.fromarray(im_array[..., ::-1])
+
+    return im
+
+
+iface = gr.Interface(
+    fn=predict_image,
+    inputs=[
+        gr.Image(type="pil", label="Upload Image"),
+        gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence threshold"),
+        gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold"),
+    ],
+    outputs=gr.Image(type="pil", label="Result"),
+    title="Object tetection Gradio",
+    description="Upload images for inference.",
+)
+
 iface.launch()