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(':blue[NLP project by team BERT]:male-technologist:') 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("
:gray[Vasily S.]", unsafe_allow_html=True) # st.markdown("
:gray[Anna F.]", unsafe_allow_html=True) # st.markdown("
:gray[Viktoria K.]", unsafe_allow_html=True) # st.markdown("
:gray[Ivan N.]", unsafe_allow_html=True) # st.markdown("
:gray[Ilvir Kh.]", unsafe_allow_html=True) st.header('**:grey[Team members:]**') st.subheader('**:violet[:cat: Vasily S.]**') st.subheader('**:violet[:cat: Anna F.]**') st.subheader('**:violet[:cat: Viktoria K.]**') st.subheader('**:violet[:cat: Ivan N.]**') st.subheader('**:violet[:cat: Ilvir Kh.]**') #st.sidebar.image # Настройка боковой панели st.sidebar.title("About the project") st.sidebar.info( """ Natural Language Processing """ ) st.sidebar.info("You can also find our repository on github " "[here](https://github.com/vasevooo/NLP_project).")