import streamlit as st
import streamlit as st
# with open('style.css') as f:
# st.markdown(f'', unsafe_allow_html=True)
import base64
import streamlit as st
import plotly.express as px
df = px.data.iris()
@st.cache_data
def get_img_as_base64(file):
with open(file, "rb") as f:
data = f.read()
return base64.b64encode(data).decode()
page_bg_img = f"""
"""
st.markdown(page_bg_img, unsafe_allow_html=True)
col1, col2, col3 = st.columns([1,8,1])
#col1, col2 = st.columns(2)
### Гистограмма total_bill
with col2:
# Веб-приложение с использованием Streamlit
st.title('NLP project by team "BERT"')
col1, col2, col3 = st.columns([2,5,2])
#col1, col2 = st.columns(2)
### Гистограмма total_bill
with col2:
# Веб-приложение с использованием Streamlit
st.markdown("
Team members:", unsafe_allow_html=True)
st.markdown("