LilithHu commited on
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6d27a75
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1 Parent(s): 2c6452e

Update app.py

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Files changed (1) hide show
  1. app.py +9 -14
app.py CHANGED
@@ -48,26 +48,17 @@ interface = gr.Interface(
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  placeholder="Enter text in English or Chinese... / 输入中文或英文句子",
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  label="📝 Input Text / 输入文本"
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  ),
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- inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=256).to(device)
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  outputs=gr.Markdown(label="📊 Prediction / 预测结果"),
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  title="🔍 Manipulative Language Detector / 操纵性语言识别器",
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- description="🧪 输入英文或中文句子,系统将判断其是否包含操纵性语言。\nEnter a sentence in English or Chinese to detect if it's manipulative.\n⚙️ Powered by fine-tuned mDeBERTa-v3 model on manually annotated Chinese/English data.
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- ",
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- examples=[
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- ["If you really cared, you'd do what I say."],
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- ["你不爱我就证明给我看!"],
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- ["今天的天气真不错。"]
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- ]
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- ---
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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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-
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- ---
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-
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  🤖 **Model Info**:
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  - Model: `LilithHu/mbert-manipulative-detector`
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  - Base: `mDeBERTa-v3` multilingual pre-trained model
@@ -75,9 +66,13 @@ It **does not guarantee accuracy** and **should not be used as legal or clinical
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  🌐 Built with Gradio and hosted on HuggingFace Spaces.
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  """,
 
 
 
 
 
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  theme="default",
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  allow_flagging="never"
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  )
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-
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  interface.launch()
 
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  placeholder="Enter text in English or Chinese... / 输入中文或英文句子",
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  label="📝 Input Text / 输入文本"
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  ),
 
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  outputs=gr.Markdown(label="📊 Prediction / 预测结果"),
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  title="🔍 Manipulative Language Detector / 操纵性语言识别器",
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+ description="""
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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**:
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  - Model: `LilithHu/mbert-manipulative-detector`
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  - Base: `mDeBERTa-v3` multilingual pre-trained model
 
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  🌐 Built with Gradio and hosted on HuggingFace Spaces.
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  """,
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+ examples=[
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+ ["If you really cared, you'd do what I say."],
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+ ["你不爱我就证明给我看!"],
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+ ["今天的天气真不错。"]
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+ ],
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  theme="default",
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  allow_flagging="never"
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  )
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  interface.launch()