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app.py

@@ -342,28 +342,28 @@ with gr.Blocks(
     )
     
     gr.Markdown(
-            r"""
-        ### 📊 Overall Score Definition
+    r"""
+### 📊 Overall Score Definition
 
-        To facilitate clearer and more consistent comparison across models, we introduce an **Overall** score for each leaderboard track.
+To facilitate clearer and more consistent comparison across models, we introduce an **Overall** score for each leaderboard track.
 
-        **1. OmniLLM / MLLM**  
-        The **Overall** score is computed as the arithmetic mean of all reported task-specific scores.
+**1. OmniLLM / MLLM**  
+The **Overall** score is computed as the arithmetic mean of all reported task-specific scores.
 
-        **2. Image Generation**  
-        The evaluation involves metrics defined on different numerical scales. **WIScore** is used for image generation, while **VIEScore** (averaged over three dimensions) is used for image editing.  
-        The **Overall** score is defined as:
+**2. Image Generation**  
+The evaluation involves metrics defined on different numerical scales. **WIScore** is used for image generation, while **VIEScore** (averaged over three dimensions) is used for image editing.  
+The **Overall** score is defined as:
 
-        \[
-        \text{Overall}=\frac{(\text{WIScore}\times 10)+\left(\frac{\sum \text{VIEScore}}{3}\right)}{2}
-        \]
+$$
+\text{Overall}=\frac{(\text{WIScore}\times 10)+\left(\frac{\sum \text{VIEScore}}{3}\right)}{2}
+$$
 
-        This normalization-based formulation ensures a balanced contribution from both image generation and image editing performance.
+This normalization-based formulation ensures a balanced contribution from both image generation and image editing performance.
 
-        **3. Video Generation**  
-        The **Overall** score is calculated as the arithmetic mean of all evaluated dimensions, including imaging quality, aesthetics, motion, and temporal consistency.
-            """
-    )
+**3. Video Generation**  
+The **Overall** score is calculated as the arithmetic mean of all evaluated dimensions, including imaging quality, aesthetics, motion, and temporal consistency.
+"""
+)
 
 demo.launch()