apps/article.py

import streamlit as st
from apps.utils import read_markdown

def app():
    st.write(read_markdown("abstract.md"))
    st.write(read_markdown("caveats.md"))
    st.write("## Methodology")
    col1, col2 = st.beta_columns([1, 1])
    col1.image(
        "./misc/article/Multilingual-VQA.png",
        caption="Masked LM model for Image-text Pretraining.",
    )
    col2.markdown(read_markdown("pretraining.md"))
    st.markdown(read_markdown("finetuning.md"))
    st.write(read_markdown("challenges.md"))
    st.write(read_markdown("social_impact.md"))
    st.write(read_markdown("references.md"))
    st.write(read_markdown("checkpoints.md"))
    st.write(read_markdown("acknowledgements.md"))