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import base64 |
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import streamlit as st |
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import plotly.express as px |
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df = px.data.iris() |
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@st.cache_data |
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def get_img_as_base64(file): |
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with open(file, "rb") as f: |
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data = f.read() |
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return base64.b64encode(data).decode() |
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page_bg_img = f""" |
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<style> |
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[data-testid="stAppViewContainer"] > .main {{ |
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background-image: url("https://catherineasquithgallery.com/uploads/posts/2021-02/1614374202_41-p-fon-tekhnologii-svetlii-53.jpg"); |
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background-size: 120%; |
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background-position: top left; |
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background-repeat: no-repeat; |
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background-attachment: local; |
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}} |
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[data-testid="stHeader"] {{ |
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background: rgba(1,1,1,1); |
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}} |
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[data-testid="stToolbar"] {{ |
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right: 2rem; |
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}} |
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div.css-1n76uvr.esravye0 {{ |
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background-color: rgba(238, 238, 238, 0.5); |
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border: 10px solid #EEEEEE; |
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padding: 5% 5% 5% 10%; |
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border-radius: 5px; |
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}} |
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</style> |
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""" |
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st.markdown(page_bg_img, unsafe_allow_html=True) |
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col1, col2, col3 = st.columns([1,8,1]) |
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with col2: |
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st.title(':blue[NLP project by team BERT]:male-technologist:') |
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col1, col2, col3 = st.columns([2,5,2]) |
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with col2: |
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st.header('**:grey[Team members:]**') |
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st.subheader('**:violet[:cat: Vasily S.]**') |
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st.subheader('**:violet[:cat: Anna F.]**') |
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st.subheader('**:violet[:cat: Viktoria K.]**') |
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st.subheader('**:violet[:cat: Ivan N.]**') |
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st.subheader('**:violet[:cat: Ilvir Kh.]**') |
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st.sidebar.title("About") |
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st.sidebar.info( |
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""" |
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This app is Open Source dashboard. |
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""" |
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) |
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st.sidebar.info("Feel free to collaborate and comment on the work. The github link can be found " |
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"[here](https://github.com/yuliianikolaenko/COVID_dashboard_proglib).") |
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