copy

app.py

@@ -1,13 +1,28 @@
 import gradio as gr
+import PIL.Image as Image
 
-from ultralytics import ASSETS
+from ultralytics import ASSETS, YOLO
 
 model = None
 
-# ./darknet detect cfg/yolov2.cfg yolov2.weights ~/OneDrive\ -\ One\ Thousand\ GmbH/3.jpg
+
 def predict_image(img, conf_threshold, iou_threshold, model_name):
     """Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
-    return img
+    model = YOLO(model_name)
+    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(