Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
 # 加载模型和 tokenizer
-model_name = "LilithHu/mbert-manipulative-detector"
+model_name = "LilithHu/new-manipulation-model"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
@@ -24,7 +24,7 @@ def classify(text):
         outputs = model(**inputs)
         probs = torch.softmax(outputs.logits, dim=1)[0]
         
-        threshold = 0.7  # 自定义阈值（你可以改成别的）
+        threshold = 0.7  # 自定义阈值
         if probs[1].item() > threshold:
             pred = 1  # 判为操纵性
         else:
@@ -58,7 +58,7 @@ This system is for **research and educational purposes only**.
 It **does not guarantee accuracy** and **should not be used as legal or clinical evidence**.  
 
 🤖 **Model Info**
-- Model: `LilithHu/mbert-manipulative-detector`  
+- Model: `LilithHu/new-manipulation-model`  
 - Base: `mDeBERTa-v3` multilingual pre-trained model  
 - Fine-tuned using HuggingFace Transformers on 10,000 labeled Chinese data