| import gradio as gr
|
| from transformers import pipeline
|
|
|
|
|
| chef = pipeline("text-classification", model="hl250/roberta-base")
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|
|
|
|
| def score_essay(essay):
|
| """评分函数"""
|
| try:
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| result = chef(essay)
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| score = result[0]['score']
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|
|
|
|
| if score >= 20:
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| feedback = "🎉 优秀！内容充实，表达清晰。"
|
| elif score >= 15:
|
| feedback = "👍 良好。可以进一步丰富内容。"
|
| elif score >= 10:
|
| feedback = "💪 及格。需要改进结构和表达。"
|
| else:
|
| feedback = "📝 需要大幅提升写作水平。"
|
|
|
| return f"📝 作文得分: {score:.1f}/30\n\n💡 评语: {feedback}"
|
|
|
| except Exception as e:
|
| return f"❌ 评分出错: {str(e)}"
|
|
|
|
|
|
|
| demo = gr.Interface(
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| fn=score_essay,
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| inputs=gr.Textbox(
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| lines=10,
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| placeholder="请输入作文内容...",
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| label="作文内容"
|
| ),
|
| outputs=gr.Textbox(label="评分结果"),
|
| title="🤖 AI作文评分系统",
|
| description="输入作文内容，获取AI自动评分和评语"
|
| )
|
|
|
|
|
| demo.launch() |
