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import streamlit as st
import streamlit.components.v1 as components
import subprocess
import time
import requests
hide_streamlit_style = """
<style>
/* Hide the hamburger menu */
#MainMenu {visibility: hidden;}
/* Hide the header */
header {visibility: hidden;}
/* Hide the footer */
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
chainlit_url = f"https://deepseek-r1-nextjs.vercel.app/"
timeout = 60 # Maximum wait time in seconds
start_time = time.time()
# Create a progress bar and a placeholder for status messages
progress_bar = st.progress(0)
status_text = st.empty()
with st.spinner("Please wait to prepare the app..."):
while True:
try:
response = requests.get(chainlit_url)
if response.status_code == 200:
break # app is ready
except Exception:
pass # Keep waiting if there's an error (e.g., connection refused)
elapsed = time.time() - start_time
# Update progress (capped at 100%)
progress = min(int((elapsed / timeout) * 100), 100)
progress_bar.progress(progress)
status_text.text(f"Waiting... {int(elapsed)} seconds elapsed.")
time.sleep(1)
if elapsed > timeout:
st.error("main app did not start in time.")
st.stop()
st.success("App loaded!")
status_text.text("")
# Embed the Chainlit app using an iframe
# components.iframe(chainlit_url, width=800)
html_code = f"""
<style>
.full-screen-iframe {{
position: fixed;
top: 0;
left: 0;
width: 100vw;
height: 100vh;
border: none;
z-index: 9999;
}}
</style>
<iframe src="{chainlit_url}" class="full-screen-iframe"></iframe>
"""
st.markdown(html_code, unsafe_allow_html=True)
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