Update app.py

app.py

@@ -15,13 +15,13 @@ if uploaded_file is not None:
     image = Image.open(uploaded_file)
 
     # Inference
-    results = model(image)
+    results = model.predict(image)
 
     # Display the image with bounding boxes
     st.image(image, channels="RGB", caption="Object Detection Result", use_column_width=True)
 
     # Display probability and class for each box
-    for det in results.xyxy[0]:
+    for det in results.boxes.xyxy[0]:
         label = int(det[5])
         score = float(det[4])
         box = det[:4].tolist()