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import streamlit as st | |
import itertools | |
import os | |
import funcs | |
def about_course(): | |
st.image("images//wireframe_header.jpg", use_column_width=True) | |
st.title("Fundamentals of Resource Estimation") | |
# get text from text_blocks: | |
text = funcs.get_text_block("about_course.txt") | |
st.write(text) | |
st.write("") | |
st.image("images//wireframe_header.jpg", use_column_width=True) | |
st.markdown("# Presenters") | |
# presenter = st.selectbox("", options=['Sean Horan', 'Valerie Wilson', 'Pierre Landry', 'Ian Weir']) | |
for presenter in ['Sean Horan', 'Valerie Wilson', 'Pierre Landry', 'Ian Weir']: | |
split_name = presenter.split(" ") | |
lcase_name = (split_name[0] + "_" + split_name[1]).lower() | |
ucase_name = (split_name[0] + "_" + split_name[1]) | |
col1, col2 = st.beta_columns([1,2.5]) | |
with col1: | |
st.image("headshots//" + ucase_name + ".jpg", use_column_width=True) | |
text = funcs.get_text_block("title_" + lcase_name + ".txt") | |
st.markdown(text) | |
with col2: | |
text = funcs.get_text_block("resume_" + lcase_name + ".txt") | |
st.write(text) | |