updated desc

app.py

@@ -58,31 +58,21 @@ description_yolov5 = """
 description_yolov8 = """
 
 #### **1. Feature Focus for Dogs:**  
-- **Facial Features:**  
-  - Strong emphasis on **eyes, nose, and mouth**, aiding in species identification.  
-- **Ears and Fur Texture:**  
-  - Highlights distinctive **fluffy or smooth fur patterns** and **ear shapes** (pointed or floppy).  
-- **Body and Legs:**  
-  - Focus on the **overall contour, legs, and tails**, distinguishing body structures of breeds like poodles and corgis.  
+- **Facial Features:**  Strong emphasis on **eyes, nose, and mouth**, aiding in species identification.  
+- **Ears and Fur Texture:** Highlights distinctive **fluffy or smooth fur patterns** and **ear shapes** (pointed or floppy).  
+- **Body and Legs:** Focus on the **overall contour, legs, and tails**, distinguishing body structures of breeds like poodles and corgis.  
 
 #### **2. Feature Focus for Cats:**  
-- **Face and Eyes:**  
-  - Sharp focus on **eyes and whiskers**, key characteristics of feline features.  
-- **Body Shape and Tail:**  
-  - Emphasizes the **compact size and tail curvature**.  
-- **Paws and Posture:**  
-  - Captures sitting postures and detailed paw structures.  
+- **Face and Eyes:**  Sharp focus on **eyes and whiskers**, key characteristics of feline features.  
+- **Body Shape and Tail:**  Emphasizes the **compact size and tail curvature**.  
+- **Paws and Posture:**  Captures sitting postures and detailed paw structures.  
 
 #### **3. Incorrect Focus or Ambiguity:**  
-- **Background Highlights:**  
-  - Some heatmaps show attention to **background regions**, leading to irrelevant feature extraction.  
-- **Shared Features:**  
-  - Overlapping fur patterns and body structures between dogs and cats occasionally result in misclassification risks.  
-- **Edge and Border Effects:**  
-  - Emphasis on **image boundaries** could reflect dataset biases during training.  
+- **Background Highlights:** Some heatmaps show attention to **background regions**, leading to irrelevant feature extraction.  
+- **Shared Features:** Overlapping fur patterns and body structures between dogs and cats occasionally result in misclassification risks.  
+- **Edge and Border Effects:** Emphasis on **image boundaries** could reflect dataset biases during training.  
 
 #### **4. Insights:**  
-- These heatmaps offer insights into **feature importance** for classification tasks and **model weaknesses** related to ambiguous regions.  
 - Refinements, such as **attention-based mechanisms**, can improve focus on discriminative features and reduce errors.  
 """
 
@@ -107,7 +97,7 @@ yolov8_url = "https://netron.app/?url=https://huggingface.co/spaces/BhumikaMak/N
 
 custom_css = """
 body {
-    background-color: #fdfaf6;
+    background-color: #fcf4ee;
     background-size: 1800px 1800px;
     height: 100%;
     margin: 0;