import pandas as pd
from deta import Deta 
import streamlit as st  
 

st.set_page_config(page_title="Persian LLM Leaderboard", page_icon=":bar_chart:", layout="wide")

# with open('.streamlit/style.css') as f:
#     st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)

st.markdown("<h1>Open Persian LLM Leaderboard</h1>", unsafe_allow_html=True)


DETA_KEY = st.secrets["DETA_KEY"]
deta = Deta(DETA_KEY)

database = deta.Base("submitted-models")

def insert_model(data): return database.put(data)
def fetch_all_models(): return database.fetch().items
def get_model_name(model): return database.get(model)


st.markdown("<br>", unsafe_allow_html=True)


tab1, tab2, tab3 = st.tabs([ "\u2001\u2001\u2001 LLM Benchmark\u2001\u2001\u2001",  
                            "\u2001\u2001\u2001 Submit A Model\u2001\u2001\u2001", 
                            "\u2001\u2001\u2001 About Leaderboard\u2001\u2001\u2001"])



summ_eval_metrics = ['BLEU', 'CHARF', 'TER']
qas_eval_metrics = ['F1', 'EXACT-MATCH']
mts_eval_metrics = ['CHARF', 'BLEU', 'TER']
mcq_eval_metrics = ['MC1', 'MC2']