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Update app.py

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  1. app.py +6 -4
app.py CHANGED
@@ -54,20 +54,22 @@ interface = gr.Interface(
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  🧪 输入英文或中文句子,系统将判断其是否包含操纵性语言。
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  Enter a sentence in English or Chinese to detect if it's manipulative.
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- 📌 **Disclaimer / 免责声明:**
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  This system is for **research and educational purposes only**.
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  It **does not guarantee accuracy** and **should not be used as legal or clinical evidence**.
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  本工具仅用于**学术研究与教学演示**,不构成法律、医疗或其他正式用途的依据。
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- 🤖 **Model Info / 模型信息**:
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  - Model: `LilithHu/mbert-manipulative-detector`
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  - Base: `mDeBERTa-v3` multilingual pre-trained model
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  - Fine-tuned using HuggingFace Transformers on 10,000 labeled Chinese data
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  🌐 **Built with Gradio and hosted on HuggingFace Spaces**
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- ⚠️ **About Examples / 关于例子**:
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- The examples provided below are those cited in the paper, including implicit moral coercion, polite masking and false positives.
 
 
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  """,
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  examples=[
 
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  🧪 输入英文或中文句子,系统将判断其是否包含操纵性语言。
55
  Enter a sentence in English or Chinese to detect if it's manipulative.
56
 
57
+ 📌 **Disclaimer / 免责声明**
58
  This system is for **research and educational purposes only**.
59
  It **does not guarantee accuracy** and **should not be used as legal or clinical evidence**.
60
  本工具仅用于**学术研究与教学演示**,不构成法律、医疗或其他正式用途的依据。
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+ 🤖 **Model Info / 模型信息**
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  - Model: `LilithHu/mbert-manipulative-detector`
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  - Base: `mDeBERTa-v3` multilingual pre-trained model
65
  - Fine-tuned using HuggingFace Transformers on 10,000 labeled Chinese data
66
 
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  🌐 **Built with Gradio and hosted on HuggingFace Spaces**
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+ ⚠️ **About Examples / 关于例子**
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+ The examples provided below are those **cited in the paper**, including implicit moral coercion, polite masking and false positives.
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+
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+
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  """,
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  examples=[