Delete streamlit_app.py

streamlit_app.py

@@ -1,46 +0,0 @@
-import streamlit as st
-import backend as be
-import footnotes
-
-st.title("US Immigration Enforcement Data")
-
-graph_tab, data_tab, about_tab = st.tabs(["📈 Graphs", "📋 Data", "ℹ️ About"])
-with graph_tab:
-    col1, col2, col3 = st.columns(3)
-    with col1:
-        dataset = st.selectbox("Dataset", ["Arresting Authority", "Criminality"])
-    with col2:
-        display = st.selectbox("Display", ["Count", "Percent"])
-    with col3:
-        # In the original dataset the "Criminality" table has 3 tables. This lets
-        # you see how the criminality of detainees varies by arresting authority.
-        if dataset == "Criminality":
-            authority = st.selectbox("Arresting Authority", ["All", "ICE", "CBP"])
-        else:
-            authority = None
-
-    fig = be.get_graph(dataset, display, authority)
-    st.plotly_chart(fig, use_container_width=True)
-    # Each dataset has different footnotes.
-    st.markdown(footnotes.get_footnote(dataset), unsafe_allow_html=True)
-with data_tab:
-    st.write(open("data.md").read())
-    df = be.get_detention_data()
-    st.dataframe(df, hide_index=True)
-    st.download_button(
-        label="Download as CSV",
-        data=df.to_csv(index=False),
-        file_name="ice_detention_data.csv",
-        mime="text/csv",
-    )
-with about_tab:
-    st.write(open("about.md").read())
-
-st.markdown(
-    """
-    ---
-    :small[Created by [Ari Lamstein](https://arilamstein.com/).
-    View the source code
-    [here](https://github.com/arilamstein/immigration_enforcement).]
-    """
-)