Update app.py

app.py

@@ -56,13 +56,15 @@ def yolov8_img_inference(
     # count 'car' objects in the results
     # count_result = results[0].boxes.cls[0].item()
     # count_result = results[0].boxes.cls.tolist()
-    clist= results[0].boxes.cls
-    cls = set()
-    for cno in clist:
-        cls.add(model.names[int(cno)]).count()
-  
+    # clist= results[0].boxes.cls
+    # cls = set()
+    # for cno in clist:
+    #     cls.add(model.names[int(cno)])
+    for r in results:
+    for c in r.boxes.cls:
+        count = names[int(c)]
     # count_result = results.pandas().xyxy[0].value_counts('name')
-    return render, cls 
+    return render, count 
     
     # results = model.predict(image, imgsz=image_size, return_outputs=True)
     # results = model.predict(image)