Update app.py

app.py

@@ -1,5 +1,24 @@
-from ultralytics import YOLOvv8
+import torch
+import cv2
+import numpy as np
+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+
+# Modeli yükleme
+model = YOLO("keremberke/yolov8n-pcb-defect-segmentation")
+
+def detect_defects(image):
+    results = model.predict(image, save=False)
+    annotated_image = results[0].plot()  # Tahmin sonuçlarını çiz
+    return annotated_image
+
+iface = gr.Interface(
+    fn=detect_defects,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Image(type="pil"),
+    title="PCB Defect Segmentation"
+)
+
+iface.launch()
 
-model = YOLOvv8.from_pretrained("keremberke/yolov8n-pcb-defect-segmentation")
-source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
-model.predict(source=source, save=True)