Create app.py
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app.py
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import gradio as gr
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from comet import download_model, load_from_checkpoint
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# ---- 加载模型(启动时执行一次) ----
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model_path = download_model("Unbabel/wmt20-comet-qe-da")
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model = load_from_checkpoint(model_path)
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def score(src, mt):
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if not src or not mt:
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return "❗请输入源文与译文"
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data = [{"src": src, "mt": mt}]
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score = model.predict(data, gpus=0)["scores"][0]
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# 可读性解释
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if score > 0.8:
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level = "🌟 质量非常好(几乎无需修改)"
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elif score > 0.6:
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level = "👍 质量良好(小幅调整即可)"
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elif score > 0.4:
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level = "🟡 中等(可能有语义偏移)"
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else:
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level = "🔴 质量较差(存在明显翻译错误)"
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return f"模型评分:{score:.4f}\n评估:{level}"
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# ---- Gradio前端 ----
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demo = gr.Interface(
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fn=score,
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inputs=[
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gr.Textbox(label="源文本(Source)", placeholder="请输入原文..."),
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gr.Textbox(label="机器翻译文本(Translation)", placeholder="请输入翻译结果..."),
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],
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outputs=gr.Textbox(label="翻译质量评估结果"),
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title="Unbabel COMET-QE 机器翻译质量检测",
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description="""
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### 📘 基于 Unbabel COMET-QE 的无参考机器翻译质量评估
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只需输入 **源文 + 译文**,模型自动给出 0~1 分的质量评估。
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- 0.8+:非常好
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- 0.6~0.8:较好
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- 0.4~0.6:一般
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- <0.4:较差
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""",
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)
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demo.launch()
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