Update app.py

app.py

@@ -45,31 +45,30 @@ interface = gr.Interface(
     fn=classify,
     inputs=gr.Textbox(
         lines=4, 
-        placeholder="Enter text in English or Chinese... / 输入中文或英文句子",
-        label="📝 Input Text / 输入文本"
+        placeholder="Enter text in English or Chinese... ",
+        label="📝 Input Text"
     ),
-    outputs=gr.Markdown(label="📊 Prediction / 预测结果"),
-    title="🔍 Manipulative Language Detector / 操纵性语言识别器",
+    outputs=gr.Markdown(label="📊 Prediction"),
+    title="🔍 Manipulative Language Detector",
     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。  
-Enter a sentence in English or Chinese to detect if it's manipulative.  
+🧪 Enter a sentence in English or Chinese to detect if it's manipulative.  
 
-📌 **Disclaimer / 免责声明**  
+📌 **Disclaimer**  
 This system is for **research and educational purposes only**.  
 It **does not guarantee accuracy** and **should not be used as legal or clinical evidence**.  
-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。
 
-🤖 **Model Info / 模型信息**
+🤖 **Model Info**
 - Model: `LilithHu/mbert-manipulative-detector`  
 - Base: `mDeBERTa-v3` multilingual pre-trained model  
 - Fine-tuned using HuggingFace Transformers on 10,000 labeled Chinese data  
 
-🌐 **Built with Gradio and hosted on HuggingFace Spaces**
-
-⚠️ **About Examples / 关于例子**
+⚠️ **About Examples**
 The examples provided below are those **cited in the paper**, including implicit moral coercion, polite masking and false positives.
 
 
+🌐 **Built with Gradio and hosted on HuggingFace Spaces**
+
+
 
 """,
     examples=[