mms_benchmark / pages /1_Language_Typology.py
Szymon Woźniak
add filtering dataframe
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import streamlit as st
import time
import numpy as np
import pandas as pd
from filter_dataframe import filter_dataframe
@st.cache_data
def get_typology_df():
return pd.read_csv("data/language_typology.tsv", sep="\t")
st.set_page_config(page_title="Language Typology", page_icon="📈")
st.markdown("# Language Typology")
st.sidebar.header("Language Typology")
st.write(
"""TODO: Description"""
)
df = get_typology_df()
st.dataframe(filter_dataframe(df))