delete due to wrong path

draw_diagram.py

@@ -1,223 +0,0 @@
-import streamlit as st
-import pandas as pd
-import numpy as np
-from streamlit_echarts import st_echarts
-from app.show_examples import *
-from app.content import *
-
-import pandas as pd
-
-from model_information import get_dataframe
-info_df = get_dataframe()
-
-
-def draw(folder_name, category_name, displayname, metrics, cus_sort=True):
-    
-    folder = f"./results_organized/{metrics}/"
-
-    # Load the results from CSV
-    data_path = f'{folder}/{category_name.lower()}.csv'
-    chart_data = pd.read_csv(data_path).round(3)
-    
-    dataset_name = displayname2datasetname[displayname]
-    chart_data = chart_data[['Model', dataset_name]]
-
-    # Rename to proper display name
-    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)]
-    chart_data = chart_data.sort_values(by=[displayname], ascending=cus_sort).dropna(axis=0)
-
-    if len(chart_data) == 0: return
-    
-    
-    # = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
-    '''
-    Show Table
-    '''
-    with st.container():
-        st.markdown('##### 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) 
-
-        chart_data_table = chart_data[['model_show', chart_data.columns[1], chart_data.columns[3]]]
-
-        # 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))
-        cur_dataset_name = chart_data_table.columns[1]
-
-
-        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
-
-        if cur_dataset_name in [
-                            'LibriSpeech-Clean',
-                            'LibriSpeech-Other',
-                            'CommonVoice-15-EN',
-                            'Peoples-Speech',
-                            'GigaSpeech-1',
-                            'Earnings-21',
-                            'Earnings-22',
-                            'TED-LIUM-3',
-                            'TED-LIUM-3-LongForm',
-                            'AISHELL-ASR-ZH',
-                            'MNSC-PART1-ASR',
-                            'MNSC-PART2-ASR',
-                            'MNSC-PART3-ASR',
-                            'MNSC-PART4-ASR',
-                            'MNSC-PART5-ASR',
-                            'MNSC-PART6-ASR',
-                            'CNA',
-                            'IDPC',
-                            'Parliament',
-                            'UKUS-News',
-                            'Mediacorp',
-                            'IDPC-Short',
-                            'Parliament-Short',
-                            'UKUS-News-Short',
-                            'Mediacorp-Short',
-                            'YTB-ASR-Batch1',
-                            'YTB-ASR-Batch2',
-                            'SEAME-Dev-Man',
-                            'SEAME-Dev-Sge',
-                            ]:
-            
-            chart_data_table = chart_data_table.sort_values(
-                    by=chart_data_table.columns[1],
-                    ascending=True
-                ).reset_index(drop=True)
-        else:
-            chart_data_table = chart_data_table.sort_values(
-                    by=chart_data_table.columns[1],
-                    ascending=False
-                ).reset_index(drop=True)
-            
-
-        styled_df = chart_data_table.style.format(
-            {chart_data_table.columns[1]: "{:.3f}"}
-        ).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
-            )
-        
-
-    # = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
-    '''
-    Show Chart
-    '''
-
-    # Initialize a session state variable for toggling the chart visibility
-    if "show_chart" not in st.session_state:
-        st.session_state.show_chart = False
-
-    # Create a button to toggle visibility
-    if st.button("Show Chart"):
-        st.session_state.show_chart = not st.session_state.show_chart
-
-    if st.session_state.show_chart:
-
-        with st.container():
-            st.markdown('##### CHART')
-
-            # Get Values
-            data_values = chart_data.iloc[:, 1]
-            
-            # Calculate Q1 and Q3
-            q1 = data_values.quantile(0.25)
-            q3 = data_values.quantile(0.75)
-
-            # Calculate IQR
-            iqr = q3 - q1
-
-            # Define lower and upper bounds (1.5*IQR is a common threshold)
-            lower_bound = q1 - 1.5 * iqr
-            upper_bound = q3 + 1.5 * iqr
-
-            # Filter data within the bounds
-            filtered_data = data_values[(data_values >= lower_bound) & (data_values <= upper_bound)]
-
-            # Calculate min and max values after outlier handling
-            min_value = round(filtered_data.min() - 0.1 * filtered_data.min(), 3)
-            max_value = round(filtered_data.max() + 0.1 * filtered_data.max(), 3)
-
-            options = {
-                # "title": {"text": f"{dataset_name}"},
-                "tooltip": {
-                    "trigger": "axis",
-                    "axisPointer": {"type": "cross", "label": {"backgroundColor": "#6a7985"}},
-                    "triggerOn": 'mousemove',
-                },
-                "legend": {"data": ['Overall Accuracy']},
-                "toolbox": {"feature": {"saveAsImage": {}}},
-                "grid": {"left": "3%", "right": "4%", "bottom": "3%", "containLabel": True},
-                "xAxis": [
-                    {
-                        "type": "category",
-                        "boundaryGap": True,
-                        "triggerEvent": True,
-                        "data":  chart_data['model_show'].tolist(),
-                    }
-                ],
-                "yAxis": [{"type": "value", 
-                            "min": min_value,
-                            "max": max_value, 
-                            "boundaryGap": True
-                            # "splitNumber": 10
-                            }],
-                "series": [{
-                        "name": f"{dataset_name}",
-                        "type": "bar",
-                        "data": chart_data[f'{displayname}'].tolist(),
-                    }],
-            }
-            
-            events = {
-                "click": "function(params) { return params.value }"
-            }
-
-            value = st_echarts(options=options, events=events, height="500px")
-