| import streamlit as st | |
| from multiapp import MultiApp | |
| from apps import home, cyclone_app,dataset # import your app modules here | |
| app = MultiApp() | |
| st.title("CycloNet") | |
| st.markdown(f''' | |
| <style> | |
| .stApp {{ | |
| background-image: url("https://cdn.pixabay.com/photo/2020/05/17/17/15/tornado-5182693_1280.jpg"); | |
| background-attachment: fixed; | |
| background-size: cover | |
| }} | |
| </style>''',unsafe_allow_html=True) | |
| st.markdown('''<p style="font-family:sans-serif; color:white; font-size: 20px;">This is a Cyclone Intensity Estimation app using Deep Learning with just one click. This app is developed by <a href="https://github.com/Sparshj8287">Sparsh Jain</a> | |
| . This app is created on <a href="https://docs.streamlit.io/">Streamlit.</a></p>''',unsafe_allow_html=True) | |
| # Add all your application here | |
| app.add_app("Introduction to app", home.app) | |
| app.add_app("Dataset", dataset.app) | |
| app.add_app("Cyclone Intensity Estimation using Deep Learning", cyclone_app.app) | |
| # The main app | |
| app.run() |