import streamlit as st import streamlit as st 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"]') 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.markdown("
", unsafe_allow_html=True) # st.markdown("
", unsafe_allow_html=True) st.header('**:grey[Team members:]**') st.subheader('**:grey[1. Vasily S.]**') st.divider() st.subheader('**:grey[2. Anna F.]**') st.subheader('**:grey[3. Viktoria K.]**') st.subheader('**:grey[4. Ivan N.]**') st.subheader('**:grey[5. Ilvir Kh.]**')