删除交互式图片显示功能，优化布局管理模块的代码结构

ocr_validator_layout.py

@@ -24,75 +24,6 @@ class OCRLayoutManager:
         self.validator = validator
         self.config = validator.config
     
-    def create_interactive_plot(self, image: Image.Image, selected_bbox: Optional[List[int]] = None) -> go.Figure:
-        """创建交互式图片显示"""
-        fig = go.Figure()
-        
-        # 添加图片
-        fig.add_layout_image(
-            dict(
-                source=image,
-                xref="x", yref="y",
-                x=0, y=image.height,
-                sizex=image.width, sizey=image.height,
-                sizing="stretch", opacity=1.0, layer="below"
-            )
-        )
-        
-        colors = self.config['styles']['colors']
-        
-        # 添加所有bbox（浅色显示）
-        for text, info_list in self.validator.text_bbox_mapping.items():
-            for info in info_list:
-                bbox = info['bbox']
-                if len(bbox) >= 4:
-                    x1, y1, x2, y2 = bbox[:4]
-                    
-                    if text in self.validator.marked_errors:
-                        color = f"rgba(244, 67, 54, 0.3)"  # 错误标记为红色
-                        line_color = colors['error']
-                    else:
-                        color = f"rgba(2, 136, 209, 0.2)"  # 默认浅蓝色
-                        line_color = colors['primary']
-                    
-                    fig.add_shape(
-                        type="rect",
-                        x0=x1, y0=image.height-y2,
-                        x1=x2, y1=image.height-y1,
-                        line=dict(color=line_color, width=1),
-                        fillcolor=color,
-                    )
-        
-        # 高亮显示选中的bbox
-        if selected_bbox and len(selected_bbox) >= 4:
-            x1, y1, x2, y2 = selected_bbox[:4]
-            fig.add_shape(
-                type="rect",
-                x0=x1, y0=image.height-y2,
-                x1=x2, y1=image.height-y1,
-                line=dict(color=colors['error'], width=3),
-                fillcolor="rgba(255, 0, 0, 0.2)",
-            )
-        
-        # 设置布局 - 增加图片大小并确保从顶部开始显示
-        fig.update_xaxes(visible=False, range=[0, image.width])
-        fig.update_yaxes(visible=False, range=[0, image.height], scaleanchor="x")
-        
-        # 计算合适的显示尺寸
-        aspect_ratio = image.width / image.height
-        display_height = 800  # 增加显示高度
-        display_width = int(display_height * aspect_ratio)
-        
-        fig.update_layout(
-            width=display_width,
-            height=display_height,
-            margin=dict(l=0, r=0, t=0, b=0),
-            xaxis_showgrid=False, yaxis_showgrid=False,
-            plot_bgcolor='white'
-        )
-        
-        return fig
-    
     def render_content_section(self, layout_type: str = "standard"):
         """渲染内容区域 - 统一方法"""
         st.header("📄 OCR识别内容")
@@ -198,7 +129,7 @@ class OCRLayoutManager:
                 key=f"{layout_type}_text_area"
             )
     
-    # 三种布局实现
+    # 布局实现
     def create_standard_layout(self, font_size: int = 10, zoom_level: float = 1.0):
         """创建标准布局"""
         if zoom_level is None: