Update app.py

app.py

@@ -8,8 +8,9 @@ from inference import get_roboflow_model
 model = get_roboflow_model(model_id="nescafe-4base/46", api_key="Otg64Ra6wNOgDyjuhMYU")
 
 def callback(image_slice: np.ndarray) -> sv.Detections:
+    # Perform inference on the image slice
     results = model.infer(image_slice)[0]
-    return sv.Detections.from_inference(results)
+    return sv.Detections.from_inference(results)  # Wrap inference results in the proper supervision format
 
 # Define the slicer
 slicer = sv.InferenceSlicer(callback=callback)
@@ -29,8 +30,10 @@ def detect_objects(image):
 
     # Count detected objects per class
     class_counts = {}
+    
+    # Loop through the detections, which should now be in the correct format
     for detection in sliced_detections:
-        class_name = detection.class_name
+        class_name = detection.class_name  # Now `detection` should be a detection object with class_name
         class_counts[class_name] = class_counts.get(class_name, 0) + 1
 
     # Total objects detected