initial app

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+from datasets import load_dataset
+import os
+
+@st.cache()
+def bar_chart(counts_df):
+    fig = px.bar(counts_df, x = 'car', y = 'large_vehicle')
+
+    # fig_app_by_arc.update_layout(
+    #                             xaxis_title="Name",
+    #                             yaxis_title="",
+    #                             )
+    return fig
+
+
+def main():
+    dataset = load_dataset("tappyness1/causion", use_auth_token=os.environ['TOKEN'])
+    print (dataset)
+    # print (pd.DataFrame(dataset['train']))
+    counts_df = pd.DataFrame(dataset['train'])
+    # counts_df = pd.read_csv("data/counts_dataset.csv")
+    # st.set_page_config(layout="wide")
+    height = 650
+
+    st.markdown(""" <style>
+                #MainMenu {visibility: hidden;}
+                footer {visibility: hidden;}
+                </style> """, 
+                unsafe_allow_html=True
+                )
+
+    # Select Plot Option
+    st.sidebar.markdown("Checkboxes")
+    checkbox_one = st.sidebar.checkbox('Lorem Ip', value = True) # rename as necessary
+    checkbox_two = st.sidebar.checkbox('Lorem Ipsum', value = False)
+
+    if checkbox_one:
+        st.write("Simple Bar Chart")
+        st.plotly_chart(bar_chart(counts_df),use_container_width=True)
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+pandas
+plotly
+datasets