import panel as pn
pn.extension()

file_download = pn.widgets.FileDownload(file='FileDownload.ipynb', filename='custom_filename.ipynb')

file_download

pn.widgets.FileDownload(file='FileDownload.ipynb', embed=True)

pn.widgets.FileDownload(
    file='FileDownload.ipynb', button_type='success', auto=False,
    embed=False, name="Right-click to download using 'Save as' dialog"
)

from bokeh.sampledata.autompg import autompg

from io import StringIO
sio = StringIO()
autompg.to_csv(sio)
sio.seek(0)

pn.widgets.FileDownload(sio, embed=True, filename='autompg.csv')

years_options = list(autompg.yr.unique())
years = pn.widgets.MultiChoice(
    name='Years', options=years_options, value=[years_options[0]], margin=(0, 20, 0, 0)
)
mpg = pn.widgets.RangeSlider(
    name='Mile per Gallon', start=autompg.mpg.min(), end=autompg.mpg.max()
)

@pn.depends(years, mpg)
def filtered_mpg(yrs, mpg):
    df = autompg
    if years.value:
        df = autompg[autompg.yr.isin(yrs)]
    return df[(df.mpg >= mpg[0]) & (df.mpg <= mpg[1])]

@pn.depends(years, mpg)
def filtered_file(yr, mpg):
    df = filtered_mpg(yr, mpg)
    sio = StringIO()
    df.to_csv(sio)
    sio.seek(0)
    return sio

fd = pn.widgets.FileDownload(
    callback=filtered_file, filename='filtered_autompg.csv'
)

pn.Column(pn.Row(years, mpg), fd, pn.panel(filtered_mpg, width=600), width=600)