Multilingual-VQA / apps /article.py
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import streamlit as st
from apps.utils import read_markdown
def app(state):
st.write(read_markdown("intro.md"))
st.write("## Methodology")
col1, col2 = st.beta_columns([1,2])
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("limitations.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"))