Update app.py

app.py

@@ -106,30 +106,30 @@ def main():
                 full_df['tags'] = full_df['tags'].fillna('')
                 df = pd.DataFrame(columns=full_df.columns)
                 
-                # Toggles
-                col1, col2 = st.columns(2)
-                with col1:
-                    show_phi = st.checkbox("Phi (2.8B)", value=True)
-                with col2:
-                    show_mistral = st.checkbox("Mistral (7B)", value=True)
-
-                dfs_to_concat = []
-                
+                # # Toggles
+                # col1, col2 = st.columns(2)
+                # with col1:
+                #     show_phi = st.checkbox("Phi (2.8B)", value=True)
+                # with col2:
+                #     show_mistral = st.checkbox("Mistral (7B)", value=True)
+
+                # dfs_to_concat = []
                 
-                if show_phi:
-                    dfs_to_concat.append(full_df[full_df['tags'].str.lower().str.contains('phi-msft')])
-                if show_mistral:
-                    dfs_to_concat.append(full_df[full_df['tags'].str.lower().str.contains('mistral')])
+                # if show_phi:
+                #     dfs_to_concat.append(full_df[full_df['tags'].str.lower().str.contains('phi-msft')])
+                # if show_mistral:
+                #     dfs_to_concat.append(full_df[full_df['tags'].str.lower().str.contains('mistral')])
                 
-                # Concatenate the DataFrames
-                if dfs_to_concat:
-                    df = pd.concat(dfs_to_concat, ignore_index=True)
+                # # Concatenate the DataFrames
+                # if dfs_to_concat:
+                #     df = pd.concat(dfs_to_concat, ignore_index=True)
                 
-                # Sort values
-                df = df.sort_values(by='Average', ascending=False)
+                # # Sort values
+                # df = df.sort_values(by='Average', ascending=False)
                 
-                # Display the DataFrame
-                st.dataframe(df[['Model'] + score_columns + ['Likes']], use_container_width=True)
+                # # Display the DataFrame
+                # st.dataframe(df[['Model'] + score_columns + ['Likes']], use_container_width=True)
+                st.dataframe(full_df, use_container_width=True)
 
                 # Full-width plot for the first category
                 create_bar_chart(df, score_columns[0])