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import streamlit as st |
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def run(): |
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st.set_page_config( |
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page_title="Hello", |
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page_icon="π", |
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) |
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st.write("# Welcome to Streamlit! π") |
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st.sidebar.success("Select a demo above.") |
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st.markdown( |
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""" |
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Streamlit is an open-source app framework built specifically for |
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Machine Learning and Data Science projects. |
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**π Select a demo from the sidebar** to see some examples |
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of what Streamlit can do! |
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### Want to learn more? |
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- Check out [streamlit.io](https://streamlit.io) |
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- Jump into our [documentation](https://docs.streamlit.io) |
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- Ask a question in our [community |
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forums](https://discuss.streamlit.io) |
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### See more complex demos |
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- Use a neural net to [analyze the Udacity Self-driving Car Image |
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Dataset](https://github.com/streamlit/demo-self-driving) |
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- Explore a [New York City rideshare dataset](https://github.com/streamlit/demo-uber-nyc-pickups) |
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""" |
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) |
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if __name__ == "__main__": |
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run() |