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change the title name in main.py
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main.py
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@@ -1,89 +1,89 @@
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import streamlit as st
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import pandas as pd
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import json
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# 读取 JSON 数据
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with open('GenAI-Bench_tags.json', 'r') as file:
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data = json.load(file)
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# Streamlit 页面标题
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st.set_page_config(page_title="GenAI-Bench Dataset Viewer", page_icon=None, layout="wide", initial_sidebar_state="auto",
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menu_items=None)
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st.title('GenAI
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# 多选框
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basic_options = []
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advanced_options = []
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for i in data:
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data[i]['basic'].sort()
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data[i]['advanced'].sort()
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for basic in data[i]['basic']:
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if basic not in basic_options:
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basic_options.append(basic)
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for adv in data[i]['advanced']:
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if adv not in advanced_options:
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advanced_options.append(adv)
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data[i]['id'] = i
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# modles = ["DALLE_3","DeepFloyd_I_XL_v1","Midjourney_6","SDXL_2_1","SDXL_Base","SDXL_Turbo"]
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data[i]['DALLE_3'] = f"app/static/DALLE_3/{i}.jpeg"
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data[i]['DeepFloyd_I_XL_v1'] = f"app/static/DeepFloyd_I_XL_v1/{i}.jpeg"
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data[i]['Midjourney_6'] = f"app/static/Midjourney_6/{i}.jpeg"
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data[i]['SDXL_2_1'] = f"app/static/SDXL_2_1/{i}.jpeg"
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data[i]['SDXL_Base'] = f"app/static/SDXL_Base/{i}.jpeg"
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data[i]['SDXL_Turbo'] = f"app/static/SDXL_Turbo/{i}.jpeg"
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data[i]['DALLE_3_Human'] = -1
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data[i]['DeepFloyd_I_XL_v1_Human'] = -1
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data[i]['Midjourney_6_Human'] = -1
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data[i]['SDXL_2_1_Human'] = -1
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data[i]['SDXL_Base_Human'] = -1
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data[i]['SDXL_Turbo_Human'] = -1
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selected_basic = st.multiselect('Select Basic Skills:', basic_options)
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selected_advanced = st.multiselect('Select Advanced Skills:', advanced_options)
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# 筛选数据
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filtered_data = [
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data[item] for item in data
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if all(elem in data[item]['basic'] for elem in selected_basic) and
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all(advanced in data[item]['advanced'] for advanced in selected_advanced)
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]
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# 显示筛选后的数据
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if filtered_data:
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df = pd.DataFrame(filtered_data)
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df = df.reindex(columns=["id", "prompt", "basic", "advanced", "DALLE_3", "DALLE_3_Human", "DeepFloyd_I_XL_v1",
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"DeepFloyd_I_XL_v1_Human", "Midjourney_6", "Midjourney_6_Human", "SDXL_2_1",
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"SDXL_2_1_Human", "SDXL_Base", "SDXL_Base_Human", "SDXL_Turbo", "SDXL_Turbo_Human"])
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# df['pic'] = df['pic'].apply(lambda x: f'< img src="{x}" width="60">')
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# st.write(df.to_html(escape=False), unsafe_allow_html=True)
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st.dataframe(data=df, width = 4096, height = 800,
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column_config={
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"name": "Data Explorer",
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"id": st.column_config.NumberColumn("ID", format="%d", width="small"),
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'basic': st.column_config.ListColumn(label="Basic Skills", width="large", help=None),
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'advanced': st.column_config.ListColumn(label="Advanced Skills", width="large", help=None),
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'prompt': st.column_config.TextColumn(label="Prompt", width="large", help=None, disabled=None,
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required=None,
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default=None, max_chars=None, validate=None),
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"DALLE_3": st.column_config.ImageColumn(label="DALLE_3", width="small", help=None),
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"DAllE_3_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for DALLE_3"),
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"DeepFloyd_I_XL_v1": st.column_config.ImageColumn(label="DeepFloyd", width="small",
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help="DeepFloyd_I_XL_v1"),
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"DeepFloyd_I_XL_v1_Human": st.column_config.NumberColumn("Rating Human", format="%d",
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width="small", help="Rating Human for DeepFloyd"),
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"Midjourney_6": st.column_config.ImageColumn(label="Midjourney", width="small", help="Midjourney_6"),
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"Midjourney_6_Human": st.column_config.NumberColumn("Rating Human", format="%d",
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width="small", help="Rating Human for Midjourney_6"),
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"SDXL_2_1": st.column_config.ImageColumn(label="SDXL_2_1", width="small", help=None),
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"SDXL_2_1_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for SDXL_2_1"),
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"SDXL_Base": st.column_config.ImageColumn(label="SDXL_Base", width="small", help=None),
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"SDXL_Base_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for SDXL_Base"),
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"SDXL_Turbo": st.column_config.ImageColumn(label="SDXL_Turbo", width="small", help=None),
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"SDXL_Turbo_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for SDXL_Turbo"),
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},
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hide_index=True, selection_mode="single-row")
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else:
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st.write("No data matches the selected filters.")
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import streamlit as st
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import pandas as pd
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import json
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# 读取 JSON 数据
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with open('GenAI-Bench_tags.json', 'r') as file:
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data = json.load(file)
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# Streamlit 页面标题
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st.set_page_config(page_title="GenAI-Bench Dataset Viewer", page_icon=None, layout="wide", initial_sidebar_state="auto",
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menu_items=None)
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st.title('GenAI-Bench Dataset Viewer')
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# 多选框
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basic_options = []
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advanced_options = []
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for i in data:
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data[i]['basic'].sort()
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data[i]['advanced'].sort()
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for basic in data[i]['basic']:
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if basic not in basic_options:
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basic_options.append(basic)
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for adv in data[i]['advanced']:
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if adv not in advanced_options:
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advanced_options.append(adv)
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data[i]['id'] = i
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# modles = ["DALLE_3","DeepFloyd_I_XL_v1","Midjourney_6","SDXL_2_1","SDXL_Base","SDXL_Turbo"]
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data[i]['DALLE_3'] = f"app/static/DALLE_3/{i}.jpeg"
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data[i]['DeepFloyd_I_XL_v1'] = f"app/static/DeepFloyd_I_XL_v1/{i}.jpeg"
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data[i]['Midjourney_6'] = f"app/static/Midjourney_6/{i}.jpeg"
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data[i]['SDXL_2_1'] = f"app/static/SDXL_2_1/{i}.jpeg"
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data[i]['SDXL_Base'] = f"app/static/SDXL_Base/{i}.jpeg"
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data[i]['SDXL_Turbo'] = f"app/static/SDXL_Turbo/{i}.jpeg"
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data[i]['DALLE_3_Human'] = -1
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data[i]['DeepFloyd_I_XL_v1_Human'] = -1
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data[i]['Midjourney_6_Human'] = -1
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data[i]['SDXL_2_1_Human'] = -1
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data[i]['SDXL_Base_Human'] = -1
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data[i]['SDXL_Turbo_Human'] = -1
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selected_basic = st.multiselect('Select Basic Skills:', basic_options)
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selected_advanced = st.multiselect('Select Advanced Skills:', advanced_options)
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# 筛选数据
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filtered_data = [
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data[item] for item in data
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if all(elem in data[item]['basic'] for elem in selected_basic) and
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all(advanced in data[item]['advanced'] for advanced in selected_advanced)
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]
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# 显示筛选后的数据
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if filtered_data:
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df = pd.DataFrame(filtered_data)
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df = df.reindex(columns=["id", "prompt", "basic", "advanced", "DALLE_3", "DALLE_3_Human", "DeepFloyd_I_XL_v1",
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"DeepFloyd_I_XL_v1_Human", "Midjourney_6", "Midjourney_6_Human", "SDXL_2_1",
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"SDXL_2_1_Human", "SDXL_Base", "SDXL_Base_Human", "SDXL_Turbo", "SDXL_Turbo_Human"])
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# df['pic'] = df['pic'].apply(lambda x: f'< img src="{x}" width="60">')
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# st.write(df.to_html(escape=False), unsafe_allow_html=True)
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st.dataframe(data=df, width = 4096, height = 800,
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column_config={
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"name": "Data Explorer",
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"id": st.column_config.NumberColumn("ID", format="%d", width="small"),
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'basic': st.column_config.ListColumn(label="Basic Skills", width="large", help=None),
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'advanced': st.column_config.ListColumn(label="Advanced Skills", width="large", help=None),
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'prompt': st.column_config.TextColumn(label="Prompt", width="large", help=None, disabled=None,
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required=None,
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default=None, max_chars=None, validate=None),
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"DALLE_3": st.column_config.ImageColumn(label="DALLE_3", width="small", help=None),
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"DAllE_3_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for DALLE_3"),
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"DeepFloyd_I_XL_v1": st.column_config.ImageColumn(label="DeepFloyd", width="small",
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help="DeepFloyd_I_XL_v1"),
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"DeepFloyd_I_XL_v1_Human": st.column_config.NumberColumn("Rating Human", format="%d",
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width="small", help="Rating Human for DeepFloyd"),
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"Midjourney_6": st.column_config.ImageColumn(label="Midjourney", width="small", help="Midjourney_6"),
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"Midjourney_6_Human": st.column_config.NumberColumn("Rating Human", format="%d",
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width="small", help="Rating Human for Midjourney_6"),
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"SDXL_2_1": st.column_config.ImageColumn(label="SDXL_2_1", width="small", help=None),
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"SDXL_2_1_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for SDXL_2_1"),
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"SDXL_Base": st.column_config.ImageColumn(label="SDXL_Base", width="small", help=None),
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"SDXL_Base_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for SDXL_Base"),
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"SDXL_Turbo": st.column_config.ImageColumn(label="SDXL_Turbo", width="small", help=None),
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"SDXL_Turbo_Human": st.column_config.NumberColumn("Rating Human", format="%d", width="small", help="Rating Human for SDXL_Turbo"),
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},
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hide_index=True, selection_mode="single-row")
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else:
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st.write("No data matches the selected filters.")
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