预测中文观点抽取任务demo中少个变量

# 预测中文观点抽取任务
my_senta.init_model(model_class="ernie_1.0_skep_large_ch", task="extraction", use_cuda=use_cuda)
texts = ["唐 家 三 少 ， 本 名 张 威 。"]
result = my_senta.predict(texts, aspects)
print(result)

此处应该是少了个:
aspects = ["张威"]

Open the Chinese opinion-extraction demo containing the shown snippet and run it to reproduce the undefined-variable problem. Check the example around the predict call; it is done when the demo defines the aspect list before prediction and runs successfully.

Written by the indexing model from the issue text.