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import streamlit as st
import streamlit.components.v1 as components
from st_on_hover_tabs import on_hover_tabs
from app.pages import *
import json
# if __name__ == "__main__":
st.set_page_config(
page_title="Leaderboard", page_icon=":chart_with_upwards_trend:", layout="wide"
)
# st.header("Leaderboard")
st.markdown('<style>' + open('./style/sidebar_style.css').read() + '</style>', unsafe_allow_html=True)
with st.sidebar:
tabs = on_hover_tabs(tabName=['Dashboard',
'Cross-Lingual Consistency',
'Cultural Reasoning',
'General Reasoning',
'FLORES-Translation',
'Emotion',
'Dialogue',
'Fundamental NLP Tasks',
],
iconName=['dashboard', 'filter_1', 'filter_2', 'filter_3', 'filter_4',
'filter_5', 'filter_6', 'filter_7'],
styles = {
'navtab': {s
'font-size' : '12px',
'transition' : '0.1s',
'text-transform': 'none',
},
'iconStyle':{
'font-size': '18px',
},
},
default_choice=0
)
if tabs =='Dashboard':
dashboard()
elif tabs == 'Cross-Lingual Consistency':
cross_lingual_consistency()
elif tabs == 'Cultural Reasoning':
cultural_reasoning()
elif tabs == 'General Reasoning':
general_reasoning()
elif tabs == 'FLORES-Translation':
flores()
elif tabs == 'Emotion':
emotion()
elif tabs == 'Dialogue':
dialogue()
elif tabs == 'Fundamental NLP Tasks':
fundamental_nlp_tasks()
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