app.py

import streamlit as st
import pandas as pd
from st_aggrid import AgGrid
from st_aggrid.grid_options_builder import GridOptionsBuilder
from st_aggrid.shared import JsCode
from download import download_button
from st_aggrid import GridUpdateMode, DataReturnMode

def _max_width_():
    max_width_str = f"max-width: 1800px;"
    st.markdown(
        f"""
    <style>
    .reportview-container .main .block-container{{
        {max_width_str}
    }}
    </style>    
    """,
        unsafe_allow_html=True,
    )

st.set_page_config(page_icon="🧠", page_title="CSV Dataset Analyzer")

col1, col2, col3 = st.columns([1,6,1])
with col1:
st.image("https://cdna.artstation.com/p/assets/images/images/054/900/924/large/aaron-wacker-event-horizon.jpg?1665626929",width=100,)
with col2:
st.title("CSV Dataset Analyzer")
with col3:
st.write("")
c29, c30, c31 = st.columns([1, 6, 1])
with c30:
    uploaded_file = st.file_uploader(
        "",
        key="1",
        help="To activate 'wide mode', go to the hamburger menu > Settings > turn on 'wide mode'",
    )
    if uploaded_file is not None:
        file_container = st.expander("Check your uploaded .csv")
        shows = pd.read_csv(uploaded_file)
        uploaded_file.seek(0)
        file_container.write(shows)
    else:
        st.info(
            f"""
                👆 Upload a .csv file first. Sample to try: [biostats.csv](https://people.sc.fsu.edu/~jburkardt/data/csv/biostats.csv)
                """
        )
        st.stop()
        
gb = GridOptionsBuilder.from_dataframe(shows)
gb.configure_default_column(enablePivot=True, enableValue=True, enableRowGroup=True)
gb.configure_selection(selection_mode="multiple", use_checkbox=True)
gb.configure_side_bar()  # side_bar is clearly a typo :) should by sidebar
gridOptions = gb.build()
st.success(
    f"""
        💡 Tip! Hold the shift key when selecting rows to select multiple rows at once!
        """
)
response = AgGrid(
    shows,
    gridOptions=gridOptions,
    enable_enterprise_modules=True,
    update_mode=GridUpdateMode.MODEL_CHANGED,
    data_return_mode=DataReturnMode.FILTERED_AND_SORTED,
    fit_columns_on_grid_load=False,
)
df = pd.DataFrame(response["selected_rows"])
st.subheader("Filtered data will appear below 👇 ")
st.text("")
st.table(df)
st.text("")
c29, c30, c31 = st.columns([1, 1, 2])
with c29:
    CSVButton = download_button(
        df,
        "File.csv",
        "Download to CSV",
    )
with c30:
    CSVButton = download_button(
        df,
        "File.csv",
        "Download to TXT",
    )