Update app.py

app.py

@@ -55,29 +55,8 @@ def setup_page():
     st.title("⚡ Swahili Text Embeddings Leaderboard (STEL)")
     st.image("https://raw.githubusercontent.com/username/repo/main/files/STEL.jpg", width=300)
 
-# def display_leaderboard(df):
-#     """Display the leaderboard."""
-#     st.header("📊 Leaderboard")
-    
-#     # Determine which non-benchmark columns are present
-#     present_non_benchmark_cols = [col for col in POSSIBLE_NON_BENCHMARK_COLS if col in df.columns]
-    
-#     # Add filters
-#     columns_to_filter = [col for col in df.columns if col not in present_non_benchmark_cols]
-#     selected_columns = st.multiselect("Select benchmarks to display:", columns_to_filter, default=columns_to_filter)
-    
-#     # Filter dataframe
-#     df_display = df[present_non_benchmark_cols + selected_columns]
-    
-#     # Display dataframe
-#     st.dataframe(df_display.style.format("{:.4f}", subset=[col for col in df_display.columns if df_display[col].dtype == 'float64']))
-    
-#     # Download buttons
-#     csv = df_display.to_csv(index=False)
-#     st.download_button(label="Download as CSV", data=csv, file_name="leaderboard.csv", mime="text/csv")
-
 def display_leaderboard(df):
-    """Display the leaderboard with compact columns."""
+    """Display the leaderboard."""
     st.header("📊 Leaderboard")
     
     # Determine which non-benchmark columns are present
@@ -90,54 +69,75 @@ def display_leaderboard(df):
     # Filter dataframe
     df_display = df[present_non_benchmark_cols + selected_columns]
     
-    # Define column widths
-    col_widths = {
-        "Model Name": 200,
-        "Publisher": 100,
-        "Open?": 60,
-        "Basemodel": 150,
-        "Matryoshka": 80,
-        "Dimension": 80,
-        "Average": 80
-    }
-    
-    # Set default width for benchmark columns
-    default_width = 80
-    
-    # Custom CSS to make the table more compact
-    st.markdown("""
-    <style>
-    .streamlit-expanderHeader {
-        font-size: 1em;
-    }
-    .stDataFrame {
-        font-size: 0.8em;
-    }
-    .stDataFrame td, .stDataFrame th {
-        white-space: nowrap;
-        overflow: hidden;
-        text-overflow: ellipsis;
-        max-width: 200px;
-    }
-    </style>
-    """, unsafe_allow_html=True)
-    
-    # Format the dataframe
-    df_styled = df_display.style.format({col: "{:.2f}" for col in df_display.columns if df_display[col].dtype in ['float64', 'int64']})
-    
-    # Set column widths
-    df_styled.set_properties(**{
-        'width': lambda x: f"{col_widths.get(x.name, default_width)}px",
-        'max-width': lambda x: f"{col_widths.get(x.name, default_width)}px",
-    })
-    
-    # Display the dataframe
-    st.dataframe(df_styled, height=400)
+    # Display dataframe
+    st.dataframe(df_display.style.format("{:.4f}", subset=[col for col in df_display.columns if df_display[col].dtype == 'float64']))
     
     # Download buttons
     csv = df_display.to_csv(index=False)
     st.download_button(label="Download as CSV", data=csv, file_name="leaderboard.csv", mime="text/csv")
 
+# def display_leaderboard(df):
+#     """Display the leaderboard with compact columns."""
+#     st.header("📊 Leaderboard")
+    
+#     # Determine which non-benchmark columns are present
+#     present_non_benchmark_cols = [col for col in POSSIBLE_NON_BENCHMARK_COLS if col in df.columns]
+    
+#     # Add filters
+#     columns_to_filter = [col for col in df.columns if col not in present_non_benchmark_cols]
+#     selected_columns = st.multiselect("Select benchmarks to display:", columns_to_filter, default=columns_to_filter)
+    
+#     # Filter dataframe
+#     df_display = df[present_non_benchmark_cols + selected_columns]
+    
+#     # Define column widths
+#     col_widths = {
+#         "Model Name": 200,
+#         "Publisher": 100,
+#         "Open?": 60,
+#         "Basemodel": 150,
+#         "Matryoshka": 80,
+#         "Dimension": 80,
+#         "Average": 80
+#     }
+    
+#     # Set default width for benchmark columns
+#     default_width = 80
+    
+#     # Custom CSS to make the table more compact
+#     st.markdown("""
+#     <style>
+#     .streamlit-expanderHeader {
+#         font-size: 1em;
+#     }
+#     .stDataFrame {
+#         font-size: 0.8em;
+#     }
+#     .stDataFrame td, .stDataFrame th {
+#         white-space: nowrap;
+#         overflow: hidden;
+#         text-overflow: ellipsis;
+#         max-width: 200px;
+#     }
+#     </style>
+#     """, unsafe_allow_html=True)
+    
+#     # Format the dataframe
+#     df_styled = df_display.style.format({col: "{:.2f}" for col in df_display.columns if df_display[col].dtype in ['float64', 'int64']})
+    
+#     # Set column widths
+#     df_styled.set_properties(**{
+#         'width': lambda x: f"{col_widths.get(x.name, default_width)}px",
+#         'max-width': lambda x: f"{col_widths.get(x.name, default_width)}px",
+#     })
+    
+#     # Display the dataframe
+#     st.dataframe(df_styled, height=400)
+    
+#     # Download buttons
+#     csv = df_display.to_csv(index=False)
+#     st.download_button(label="Download as CSV", data=csv, file_name="leaderboard.csv", mime="text/csv")
+
 
 
 def display_evaluation():