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Create app.py
Browse files- app/app.py +58 -0
app/app.py
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import streamlit as st
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import streamlit.components.v1 as components
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from st_on_hover_tabs import on_hover_tabs
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from pages import *
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import json
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# if __name__ == "__main__":
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st.set_page_config(
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page_title="Leaderboard", page_icon=":chart_with_upwards_trend:", layout="wide"
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)
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st.header("SeaEval Leaderboard")
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st.markdown('<style>' + open('./style/sidebar_style.css').read() + '</style>', unsafe_allow_html=True)
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with st.sidebar:
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tabs = on_hover_tabs(tabName=['Dashboard', 'Cross-Lingual Consistency', 'Cultural Reasoning',
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'General Reasoning', 'FLORES-Translation', 'Emotion', 'Dialogue', 'Fundamental NLP Tasks'],
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iconName=['dashboard', 'filter_1', 'filter_2', 'filter_3', 'filter_4',
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'filter_5', 'filter_6', 'filter_7'],
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styles = {
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'navtab': {
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'font-size': '12px',
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'transition': '.1s',
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},
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'iconStyle':{
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'font-size': '18px',
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},
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},
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default_choice=0
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)
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if tabs =='Dashboard':
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dashboard()
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elif tabs == 'Cross-Lingual Consistency':
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cross_lingual_consistency()
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elif tabs == 'Cultural Reasoning':
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cultural_reasoning()
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elif tabs == 'General Reasoning':
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general_reasoning()
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elif tabs == 'FLORES-Translation':
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flores()
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elif tabs == 'Emotion':
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emotion()
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elif tabs == 'Dialogue':
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dialogue()
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elif tabs == 'Fundamental NLP Tasks':
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fundamental_nlp_tasks()
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