async def serve(q: Q):
if q.args.show_inputs:
q.page['example'].items = [
ui.text(f'spinbox={q.args.spinbox}'),
ui.text(f'spinbox_disabled={q.args.spinbox_disabled}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(
box='1 1 4 10',
items=[
ui.spinbox(name='spinbox',
label='Standard spinbox',
min=0,
max=100,
step=10,
value=30),
ui.spinbox(name='spinbox_disabled',
label='Disabled spinbox',
min=0,
max=100,
step=10,
value=30,
disabled=True),
ui.button(name='show_inputs', label='Submit', primary=True),
])
await q.page.save()
async def serve(q: Q):
q.page['example'] = ui.form_card(box='1 1 4 10', items=[
ui.text_xl(content='Extra-large text, for headings.'),
ui.text_l(content='Large text, for sub-headings.'),
ui.text_m(content='Body text, for paragraphs and other content.'),
ui.text_s(content='Small text, for small print.'),
ui.text_xs(content='Extra-small text, for really small print.'),
ui.separator(label='A separator sections forms'),
ui.progress(label='A progress bar'),
ui.progress(label='A progress bar'),
ui.message_bar(type='success', text='Message bar'),
ui.textbox(name='textbox', label='Textbox'),
ui.label(label='Checkboxes'),
ui.checkbox(name='checkbox1', label='A checkbox'),
ui.checkbox(name='checkbox1', label='Another checkbox'),
ui.checkbox(name='checkbox1', label='Yet another checkbox'),
ui.toggle(name='toggle', label='Toggle'),
ui.choice_group(name='choice_group', label='Choice group', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.checklist(name='checklist', label='Checklist', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.dropdown(name='dropdown', label='Dropdown', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.dropdown(name='dropdown', label='Multi-valued Dropdown', values=[], choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.combobox(name='combobox', label='Combobox', choices=['Choice 1', 'Choice 2', 'Choice 3']),
ui.slider(name='slider', label='Slider'),
ui.range_slider(name='range_slider', label='Range slider', max=99),
ui.spinbox(name='spinbox', label='Spinbox'),
ui.date_picker(name='date_picker', label='Date picker'),
ui.color_picker(name='color_picker', label='Color picker'),
ui.buttons([
ui.button(name='primary_button', label='Primary', primary=True),
ui.button(name='standard_button', label='Standard'),
ui.button(name='standard_disabled_button', label='Standard', disabled=True),
]),
ui.file_upload(name='file_upload', label='File upload'),
ui.table(name='table', columns=[
ui.table_column(name='col1', label='Column 1'),
ui.table_column(name='col2', label='Column 2'),
], rows=[
ui.table_row(name='row1', cells=['Text A', 'Text B']),
ui.table_row(name='row2', cells=['Text C', 'Text D']),
ui.table_row(name='row3', cells=['Text E', 'Text F']),
]),
ui.link(label='Link'),
ui.tabs(name='tabs', items=[
ui.tab(name='email', label='Mail', icon='Mail'),
ui.tab(name='events', label='Events', icon='Calendar'),
ui.tab(name='spam', label='Spam'),
]),
ui.expander(name='expander', label='Expander'),
ui.frame(path='https://example.com'),
ui.markup(content=html),
ui.template(
content=menu,
data=pack(dict(dishes=[
dict(name='Spam', price='$2.00'),
dict(name='Ham', price='$3.45'),
dict(name='Eggs', price='$1.75'),
]))
),
ui.picker(name='picker', label='Picker', choices=[
ui.choice('choice1', label='Choice 1'),
ui.choice('choice2', label='Choice 2'),
ui.choice('choice3', label='Choice 3'),
]),
ui.stepper(name='stepper', items=[
ui.step(label='Step 1', icon='MailLowImportance'),
ui.step(label='Step 2', icon='TaskManagerMirrored'),
ui.step(label='Step 3', icon='Cafe'),
]),
ui.visualization(
plot=ui.plot([ui.mark(type='interval', x='=product', y='=price', y_min=0)]),
data=data(fields='product price', rows=[(c, x) for c, x, _ in [f.next() for _ in range(n)]], pack=True),
),
ui.vega_visualization(
specification=spec,
data=data(fields=["a", "b"], rows=[
["A", rnd()], ["B", rnd()], ["C", rnd()],
["D", rnd()], ["E", rnd()], ["F", rnd()],
["G", rnd()], ["H", rnd()], ["I", rnd()]
], pack=True),
),
ui.button(name='show_inputs', label='Submit', primary=True),
])
await q.page.save()
async def serve(q: Q):
if q.args.train:
# train WaveML Model using H2O-3 AutoML
copy_expando(q.args, q.client)
exclude_algos = [] if q.client.include_dl else ['DeepLearning']
q.client.wave_model = build_model(
train_df=q.client.train_df,
target_column='target',
model_type=ModelType.H2O3,
_h2o3_max_runtime_secs=q.client.max_runtime_secs,
_h2o3_nfolds=2,
_h2o3_exclude_algos=exclude_algos)
model_id = q.client.wave_model.model.model_id
accuracy = round(
100 - q.client.wave_model.model.mean_per_class_error() * 100, 2)
# show training details and prediction option
q.page['example'].items[1].spinbox.value = q.client.max_runtime_secs
q.page['example'].items[2].toggle.value = q.client.include_dl
q.page['example'].items[3].buttons.items[1].button.disabled = False
q.page['example'].items[4].message_bar.type = 'success'
q.page['example'].items[
4].message_bar.text = 'Training successfully completed!'
q.page['example'].items[
5].text.content = f'''**H2O AutoML model id:** {model_id} <br />
**Accuracy:** {accuracy}%'''
q.page['example'].items[6].text.content = ''
elif q.args.predict:
# predict on test data
preds = q.client.wave_model.predict(test_df=q.client.test_df)
# show predictions
q.page['example'].items[
4].message_bar.text = 'Prediction successfully completed!'
q.page['example'].items[
6].text.content = f'''**Example predictions:** <br />
{preds[0]} <br /> {preds[1]} <br /> {preds[2]}'''
else:
# prepare sample train and test dataframes
data = load_wine(as_frame=True)['frame']
q.client.train_df, q.client.test_df = train_test_split(data,
train_size=0.8)
# display ui
q.page['example'] = ui.form_card(
box='1 1 -1 -1',
items=[
ui.text(content='''The sample dataset used is the
<a href="https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html" target="_blank">wine dataset</a>.'''
),
ui.spinbox(name='max_runtime_secs',
label='Max Runtime (Secs)',
min=5,
max=30,
step=1,
value=10),
ui.toggle(name='include_dl',
label='Include Deep Learning',
value=False),
ui.buttons(items=[
ui.button(name='train', label='Train', primary=True),
ui.button(name='predict',
label='Predict',
primary=True,
disabled=True),
]),
ui.message_bar(type='warning',
text='Training will take a few seconds'),
ui.text(content=''),
ui.text(content='')
])
await q.page.save()
def get_form_items(value: Optional[float]):
return [
ui.text(f'spinbox_trigger={value}'),
ui.spinbox(name='spinbox_trigger', label='Pick a number',
trigger=True),
]