Update app.py

app.py

@@ -60,10 +60,10 @@ def yolov8_img_inference(
     clist= results[0].boxes.cls.tolist()
     cls = set()
     for cno in clist:
-        count = cls.add(model.names[int(cno)])
+        cls.add(model.names[int(cno)])
         
     # count_result = results.pandas().xyxy[0].value_counts('name')
-    return render, count
+    return render, cls
     
     # results = model.predict(image, imgsz=image_size, return_outputs=True)
     # results = model.predict(image)