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