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import gradio as gr
from transformers import pipeline
# 使用 Hugging Face 的 fill-mask 模型
classifier = pipeline("fill-mask")
def fill_mask(text):
# 返回 top 5 的填充结果
results = classifier(text, top_k=5)
return [f"{res['sequence']} (score: {res['score']:.4f})" for res in results]
# 创建 Gradio 界面
demo = gr.Interface(fn=fill_mask, inputs="text", outputs="text")
# 启动应用
demo.launch()
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