Update app.py

app.py

@@ -41,7 +41,7 @@ for key in models:
 
 ## 2. 模型输出处理
 
-python
+
 def process_model_output(model_info, outputs, probabilities):
     """处理不同模型的输出，统一返回AI生成概率"""
     model_name = model_info["name"].lower()
@@ -115,7 +115,7 @@ def process_model_output(model_info, outputs, probabilities):
 
 ## 3. 图像特征分析
 
-python
+
 def analyze_image_features(image):
     """分析图像特征"""
     # 转换为OpenCV格式
@@ -214,7 +214,7 @@ def analyze_image_features(image):
 
 ## 4. AI特征检查
 
-python
+
 def check_ai_specific_features(image_features):
     """检查AI生成图像的典型特征"""
     ai_score = 0
@@ -260,7 +260,7 @@ def check_ai_specific_features(image_features):
 
 ## 5. PS痕迹检测
 
-python
+
 def detect_photoshop_signs(image_features):
     """检测图像中的PS痕迹"""
     ps_score = 0
@@ -317,7 +317,7 @@ def detect_photoshop_signs(image_features):
 
 ## 6. 结果分析与分类
 
-python
+
 def get_detailed_analysis(ai_probability, ps_score, ps_signs, ai_signs, valid_models_count):
     """提供更详细的分析结果"""
     
@@ -379,7 +379,7 @@ def get_detailed_analysis(ai_probability, ps_score, ps_signs, ai_signs, valid_mo
 
 ## 7. 主检测函数
 
-python
+
 def detect_ai_image(image):
     """主检测函数"""
     if image is None:
@@ -494,7 +494,7 @@ def detect_ai_image(image):
 
 ## 8. Gradio界面
 
-python
+
 # 创建Gradio界面
 iface = gr.Interface(
     fn=detect_ai_image,