Update app.py

app.py

@@ -145,7 +145,6 @@ def evaluate_predictions(prediction_file, model_name, add_to_leaderboard):
 initialize_leaderboard_file()
 
 
-
 # Function to set default mode
 css_tech_theme = """
 body {
@@ -173,16 +172,15 @@ button {
     padding: 10px 15px;
     font-size: 14px;
     cursor: pointer;
-    transition: background-color 0.3s ease, transform 0.3s ease;
+    transition: background-color 0.3s ease;
 }
 
 button:hover {
     background-color: #6a1b9a;
-    transform: scale(1.05);
 }
 
 .input-row, .tab-content {
-    background-color: #ffffff;
+    background-color: #f8f4fc;
     border-radius: 10px;
     padding: 20px;
     box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
@@ -199,13 +197,14 @@ button:hover {
 }
 """
 
+
 with gr.Blocks(css=css_tech_theme) as demo:
     gr.Markdown("""
 # 🏆 Mobile-MMLU Benchmark Competition
 ### 🌟 Welcome to the Competition Overview
 ![Competition Logo](mobile_mmlu_sd.jpeg)
 ---
-Welcome to the **Mobile-MMLU Benchmark Competition**. Here you can submit your predictions, view the leaderboard, and track your performance.
+Welcome to the Mobile-MMLU Benchmark Competition. Here you can submit your predictions, view the leaderboard, and track your performance.
 ---
     """)
 
@@ -213,7 +212,7 @@ Welcome to the **Mobile-MMLU Benchmark Competition**. Here you can submit your p
         with gr.TabItem("📖 Overview"):
             gr.Markdown("""
 ## Overview
-Welcome to the **Mobile-MMLU Benchmark Competition**! Evaluate mobile-compatible Large Language Models (LLMs) on **16,186 scenario-based and factual questions** across **80 fields**.
+Welcome to the Mobile-MMLU Benchmark Competition! Evaluate mobile-compatible Large Language Models (LLMs) on **16,186 scenario-based and factual questions** across **80 fields**.
 ---
 ### What is Mobile-MMLU?
 Mobile-MMLU is a benchmark designed to test the capabilities of LLMs optimized for mobile use. Contribute to advancing mobile AI systems by competing to achieve the highest accuracy.