app.py

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():

    # comment out for local testing, but be sure to include after testing
    dataset = load_dataset("tappyness1/causion", use_auth_token=os.environ['TOKEN'])
    # print (dataset)
    # print (pd.DataFrame(dataset['train']))
    counts_df = pd.DataFrame(dataset['train'])

    # only use this part before for local testing
    # once local testing is completed, comment out and use the dataset above
    # 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()