app.py

import streamlit as st
from PIL import Image

image = Image.open("rai_raise_main_badge_pos_102.png")

st.image(image, width = 200)
st.title("RAISE CORPORATE AI POLICY BENCHMARK")
col1, col2 = st.columns(2,gap="small")

with col1:
        video_file = open('Rai Nov 23 Copy 01.mp4', 'rb')
        video_bytes = video_file.read()
        st.video(video_bytes)

with col2:
        video_file1 = open('Demo.mp4', 'rb')
        video_bytes1 = video_file1.read()
        st.video(video_bytes1)

change_link_color = """
    <style>
     a:link {
       color: green;
       background-color: transparent;
       text-decoration: none;
     }
    </style>
    """
st.markdown(change_link_color , unsafe_allow_html=True)

st.write('<h4> FAQs <a href="https://www.responsible.ai/faq">🔗</a>  &nbsp;&nbsp;  Press Release <a href="https://www.responsible.ai/post/responsible-ai-institute-launches-raise-benchmarks-to-operationalize-scale-responsible-ai-policies?postId=af70f3b3-a320-42c7-b9f3-f829b67619c4">🔗</a> &nbsp;&nbsp;  Methodology <a href="https://www.responsible.ai/post/raise-corporate-ai-policy-benchmark-methodology?postId=19034c80-baea-4e90-8235-10394a760139">🔗</a></h4>', unsafe_allow_html=True)