delete due to wrong path

summarization.py

@@ -1,127 +0,0 @@
-import streamlit as st
-import pandas as pd
-import numpy as np
-from streamlit_echarts import st_echarts
-from streamlit.components.v1 import html
-# from PIL import Image 
-from app.show_examples import *
-from app.content import *
-
-import pandas as pd
-from typing import List
-
-from model_information import get_dataframe
-
-info_df = get_dataframe()
-
-
-def sum_table_mulit_metrix(task_name, metrics_lists: List[str]):
-
-    # combine chart data from multiple sources
-    chart_data = pd.DataFrame()
-    for metrics in metrics_lists:
-        folder = f"./results_organized/{metrics}"
-        data_path = f'{folder}/{task_name.lower()}.csv'
-        one_chart_data = pd.read_csv(data_path).round(3)
-        if len(chart_data) == 0:
-            chart_data = one_chart_data
-        else:
-            chart_data = pd.merge(chart_data, one_chart_data, on='Model', how='outer')
-    
-
-    selected_columns = [i for i in chart_data.columns if i != 'Model']
-    chart_data['Average'] = chart_data[selected_columns].mean(axis=1)
-
-    # Update dataset name in table
-    chart_data = chart_data.rename(columns=datasetname2diaplayname)
-    
-    st.markdown("""
-                <style>
-                .stMultiSelect [data-baseweb=select] span {
-                    max-width: 800px;
-                    font-size: 0.9rem;
-                    background-color: #3C6478 !important; /* Background color for selected items */
-                    color: white; /* Change text color */
-                    back
-                }
-                </style>
-                """, unsafe_allow_html=True)
-    
-    # remap model names
-    display_model_names = {key.strip() :val.strip() for key, val in zip(info_df['Original Name'], info_df['Proper Display Name'])}
-    chart_data['model_show'] = chart_data['Model'].map(lambda x: display_model_names.get(x, x))
-
-    models = st.multiselect("Please choose the model", 
-                            sorted(chart_data['model_show'].tolist()), 
-                            default = sorted(chart_data['model_show'].tolist()),
-                            )
-    
-    chart_data = chart_data[chart_data['model_show'].isin(models)].dropna(axis=0)
-
-    if len(chart_data) == 0: return
-
-    # = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
-    '''
-    Show Table
-    '''
-    with st.container():
-        st.markdown(f'##### TABLE')
-
-        model_link = {key.strip(): val for key, val in zip(info_df['Proper Display Name'], info_df['Link'])}
-
-        chart_data['model_link'] = chart_data['model_show'].map(model_link) 
-
-        tabel_columns = [i for i in chart_data.columns if i not in ['Model', 'model_show']]
-        column_to_front = 'Average'
-        new_order = [column_to_front] + [col for col in tabel_columns if col != column_to_front]
-        
-        chart_data_table = chart_data[['model_show'] + new_order]
-        
-
-        # Format numeric columns to 2 decimal places
-        chart_data_table[chart_data_table.columns[1]] = chart_data_table[chart_data_table.columns[1]].apply(lambda x: round(float(x), 3) if isinstance(float(x), (int, float)) else float(x))
-
-        if metrics in ['wer']:
-            ascend = True
-        else:
-            ascend= False
-
-        chart_data_table = chart_data_table.sort_values(
-                by=['Average'],
-                ascending=ascend
-            ).reset_index(drop=True)
-        
-        # Highlight the best performing model
-        def highlight_first_element(x):
-            # Create a DataFrame with the same shape as the input
-            df_style = pd.DataFrame('', index=x.index, columns=x.columns)
-            # Apply background color to the first element in row 0 (df[0][0])
-            # df_style.iloc[0, 1] = 'background-color: #b0c1d7; color: white'
-            df_style.iloc[0, 1] = 'background-color: #b0c1d7'
-
-            return df_style
-        
-
-        styled_df = chart_data_table.style.format(
-            {
-                chart_data_table.columns[i]: "{:.3f}" for i in range(1, len(chart_data_table.columns) - 1)
-             }
-        ).apply(
-            highlight_first_element, axis=None
-        )
-
-        st.dataframe(
-                styled_df,
-                column_config={
-                    'model_show': 'Model',
-                    chart_data_table.columns[1]: {'alignment': 'left'},
-                    "model_link": st.column_config.LinkColumn(
-                        "Model Link",
-                    ),
-                },
-                hide_index=True,
-                use_container_width=True
-            )
-            
-    # Only report the last metrics
-    st.markdown(f'###### Metric: {metrics_info[metrics]}')