Update app.py

app.py

@@ -117,9 +117,25 @@ def create_bar_chart(df, category):
 
 # Main function to run the Streamlit app
 def main():
-    st.title("🏆 YALL - Yet Another LLM Leaderboard")
-    st.markdown("Leaderboard made with 🧐 [LLM AutoEval](https://github.com/mlabonne/llm-autoeval) using [Nous](https://huggingface.co/NousResearch) benchmark suite.")
+    st.title("Model Leaderboard")
+    st.markdown("Displaying top combinations of models based on scores.")
 
+    # Placeholder for content fetching or upload
+    # For demonstration, let's assume 'content' is a markdown string from somewhere
+    content = """Your markdown table content here"""
+    
+    if content:
+        df = convert_markdown_table_to_dataframe(content)
+        df = get_and_update_model_info(df)
+
+        # Assuming your DataFrame has these score columns already or you've added them
+        score_columns = ['Average', 'AGIEval', 'GPT4All', 'TruthfulQA', 'Bigbench']
+        
+        # Make sure the score columns are numeric and handle NaNs or conversion issues
+        for col in score_columns:
+            df[col] = pd.to_numeric(df[col], errors='coerce')
+
+        display_highest_combined_scores(df, score_columns)
     # Create tabs for leaderboard and about section
     content = create_yall()
     tab1, tab2 = st.tabs(["🏆 Leaderboard", "📝 About"])
@@ -253,3 +269,4 @@ def main():
 # Run the main function if this script is run directly
 if __name__ == "__main__":
     main()
+