Update app.py

app.py

@@ -55,7 +55,7 @@ def yolov8_img_inference(
     # obj_id = list(names)[list(names.values()).index([0])]
     # count 'car' objects in the results
     # count_result = results[0].boxes.cls[0].item()
-    count_result = results.boxes.data
+    #count_result = results[0]boxes.cls[0].tolist()
 
     object_counts = {x: 0 for x in names}
     for r in results:
@@ -85,7 +85,7 @@ def yolov8_img_inference(
     #     cls.add(model.names[int(cno)])
         
     # count_result = results.pandas().xyxy[0].value_counts('name')
-    return render, count_result
+    return render, type(present_objects)
     # results = model.predict(image, imgsz=image_size, return_outputs=True)
     # results = model.predict(image)
     # object_prediction_list = []