async def show_slider(q: Q, message: str):
q.page['output'] = ui.form_card(box='1 1 3 2',
title="Party Meter",
items=[
ui.slider(
name='temperature',
label='Temperature (°C)',
max=50,
value=q.args.temperature,
trigger=True,
),
ui.text(message),
])
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
q.client.tab = 'a'
q.page['tabs'] = ui.tab_card( # Initialize once
box='1 1 4 1',
items=[ui.tab(name=f'#{t}', label=t.upper()) for t in TABS])
q.client.initialized = True
if q.args['#']:
q.client.tab = str(q.args['#'])
await remove_cards(q)
await display_tab(q)
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
q.client.initialized = True
q.page['table'] = ui.form_card(
box='1 1 4 7',
items=[
ui.text_l('Airline Passenger Counts'),
ui.text(
make_markdown_table(
fields=air_passengers_fields,
rows=add_links_to_cells(air_passengers_rows),
)),
],
)
q.page['message'] = ui.markdown_card(
box='1 8 4 1',
title='',
content='Click on a cell in the table above!',
)
await handle_on(q)
await q.page.save()
async def serve(q: Q):
if q.args.train:
# train WaveML Model using H2O-3 AutoML
q.client.wave_model = build_model(
train_df=q.client.train_df,
target_column='target',
model_type=ModelType.H2O3,
_h2o3_max_runtime_secs=5,
_h2o3_nfolds=2
)
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].buttons.items[1].button.disabled = False
q.page['example'].items[2].message_bar.type = 'success'
q.page['example'].items[2].message_bar.text = 'Training successfully completed!'
q.page['example'].items[3].text.content = f'''**H2O AutoML model id:** {model_id} <br />
**Accuracy:** {accuracy}%'''
q.page['example'].items[4].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[2].message_bar.text = 'Prediction successfully completed!'
q.page['example'].items[4].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.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 render_home(q: Q):
q.page["left_panel"] = ui.form_card(box=config.boxes['left_panel'], items=[
ui.text_xl("Hotel Reviews"),
ui.dropdown(
name="review_choice",
label="Choose a review type",
placeholder=config.column_mapping[q.client.review] if q.client.review else "please select a review type",
choices=[
ui.choice(name=column, label=config.column_mapping[column])
for column in config.dataset[config.review_column_list]
],
trigger=True,
),
])
async def init(q: Q):
if not q.client.app_initialized:
q.app.model = pipeline("text-generation")
q.client.app_initialized = True
q.page.drop()
q.page["title"] = ui.header_card(
box="1 1 8 1",
title="Text Generation",
subtitle="Generate text using Huggingface pipelines",
icon="AddNotes",
icon_color="Blue",
)
async def serve(q: Q):
# Track how many times the button has been clicked.
if q.client.count is None:
q.client.count = 0
if not q.client.initialized:
# Add our script to the page.
q.page['meta'] = ui.meta_card(
box='',
script=ui.inline_script(
# The Javascript code for this script.
content=counter_onclick,
# Execute this script only if the 'counter' element is available.
targets=['counter'],
))
q.page['form'] = ui.form_card(
box='1 1 2 2',
title='Counter',
items=[
# Display our custom button.
ui.markup(content=counter_html),
ui.text(''),
],
)
q.client.initialized = True
else:
# Do we have an event from the counter?
if q.events.counter:
# Is 'clicked' True?
if q.events.counter.clicked:
# Increment the count.
q.client.count += 1
# Display the latest count.
q.page['form'].items[
1].text.content = f'You clicked {q.client.count} times.'
await q.page.save()
async def show_homepage(q: Q):
if q.client.initialise is None:
######## all logics / preprocessing goes here #########
input_path = 'datasets/Credit_Scoring_Dataset-test.csv'
q.user.dataset = pd.read_csv(input_path).fillna(0)
customer_ids = list(q.user.dataset['CustomerID'])[:10]
if not os.path.isfile('datasets/credit_predictions.csv'):
dp = DriverlessPredict(
config={
"username": "",
"password": "",
"experiment_key": "",
"address": ""
})
predictions = dp.dai_predict(input_path=input_path)
else:
predictions = pd.read_csv("datasets/credit_predictions.csv")
q.user.dataset = pd.concat([q.user.dataset, predictions], axis=1)
target_col = [_ for _ in q.user.dataset.columns if ".1" in _][0]
q.user.dataset['prediction'] = q.user.dataset[target_col]
q.user.dataset = q.user.dataset.dropna()
q.user.fe = pd.read_csv("datasets/feature_importance.txt").dropna()
q.user.about_text = 'This score and the dashboard is generated by driverless-ai model in which the past \
The training dataset contains credit details of about 250,000 borrowers along with the target column - if they managed to repay the loan or not.'
######## all logics / preprocessing ends here #########
q.page['header'] = add_header_card(box='1 1 11 1')
q.page['sidebar'] = add_sidebar_card(box='1 2 2 -1',
customer_ids=customer_ids)
q.page['content'] = add_text_card(box='3 2 9 -1', text="")
q.client.initialise = True
await q.page.save()
async def initialize_app(q: Q):
"""
Initialize app.
"""
path = path_data
file_name = 'marketing.pkl'
out_file = path / file_name
if not os.path.exists(out_file):
df = pd.read_csv(path_data / 'All_People.csv')
people = []
for company in companies:
dfc = df[df['Company Name'] == company]
for index, row in dfc.iterrows():
people.append(
Person(
cid=row['Id'],
status=row['Status'],
name=row['Full Name'],
title=row['Job Title'],
company=row['Company Name'],
email=row['Email Address'],
phone=row['Phone Number'],
source=row['Person Source'],
last_contact=row['Last Interesting Moment Date'],
))
ql = QLearn(actions=marketing_options)
output = open(path / file_name, 'wb')
pickle.dump([people, ql, 'assignment'], output)
output.close()
state = open(out_file, 'rb')
q.client.people, q.client.ql, q.client.pos = pickle.load(state)
q.page['meta'] = home_cards.card_meta()
q.page['title'] = home_cards.card_title()
q.page['navbar'] = home_cards.card_navbar()
q.page['home'] = home_cards.card_home()
q.page['side'] = home_cards.card_sidebar()
await q.page.save()
async def serve(q: Q):
count = q.user.count or 0
if 'increment' in q.args:
count += 1
q.user.count = count
items = pack([ui.button(name='increment', label=f'Count={count}')])
if count > 0:
form = q.page['example']
form.items = items
else:
q.page['example'] = ui.form_card(box='1 1 12 10', items=items)
await q.page.save()
async def serve2(q: Q):
if '#' in q.args:
hash_ = q.args['#']
q.page['nav'] = ui.form_card(box='1 1 2 5',
items=[
ui.text(f'#={hash_}'),
ui.button(name='show_nav',
label='Back',
primary=True),
])
else:
q.page['nav'] = ui.nav_card(
box='1 1 2 5',
value='#menu/spam',
items=[
ui.nav_group('Menu',
items=[
ui.nav_item(name='#menu/spam', label='Spam'),
ui.nav_item(name='#menu/ham', label='Ham'),
ui.nav_item(name='#menu/eggs', label='Eggs'),
ui.nav_item(name='#menu/toast',
label='Toast',
disabled=True),
]),
ui.nav_group('Help',
items=[
ui.nav_item(name='#about',
label='About',
icon='Info'),
ui.nav_item(name='#support',
label='Support',
icon='Help'),
])
],
)
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
# Create an empty meta_card to hold the dialog
q.page['meta'] = ui.meta_card(box='')
# Display a button to launch dialog dialog
q.page['example'] = ui.form_card(box='1 1 2 1',
items=[
ui.button(name='launch_dialog',
label='Launch dialog',
primary=True)
])
q.client.initialized = True
# Was the launch_dialog button clicked?
if q.args.launch_dialog:
# Create a dialog with a close button
q.page['meta'].dialog = ui.dialog(
title='Hello!',
name='my_dialog',
items=[
ui.text('Click the X button to close this dialog.'),
],
# Enable a close button (displayed at the top-right of the dialog)
closable=True,
# Get notified when the dialog is dismissed.
events=['dismissed'],
)
# Did we get events from the dialog?
if q.events.my_dialog:
# Was the dialog dismissed?
if q.events.my_dialog.dismissed:
# Delete the dialog
q.page['meta'].dialog = None
await q.page.save()
async def serve(q: Q):
if q.args.preview_card:
q.page['example'] = ui.form_card(box='1 1 3 4', items=[
ui.button(name='back', label='Back', primary=True),
])
else:
q.page['example'] = ui.preview_card(
name='preview_card',
box='1 1 3 4',
image='https://images.pexels.com/photos/1269968/pexels-photo-1269968.jpeg?auto=compress',
title='Post title',
items=[ui.mini_buttons([
ui.mini_button(name='like', label='4', icon='Heart'),
ui.mini_button(name='comment', label='2', icon='Comment'),
ui.mini_button(name='share', label='1', icon='Share'),
])
],
caption='''
Lorem ipsum dolor sit amet, coectetur adipiscing elit. Etiam ut hendrerit lectus.As Etiam venenatis id nulla a molestie.
Lorem ipsum dolor sit amet, coectetur adipiscing elit. Etiam ut hendrerit lectus.As Etiam venenatis id nulla a molestie.
''',
label='Click me'
)
await q.page.save()
async def serve(q: Q):
hash = q.args['#']
if hash == 'form':
q.page['navigation'] = ui.form_card(box='1 1 -1 11', items=[
ui.table(
name='issues',
columns=columns,
rows=[ui.table_row(
name=issue.id,
cells=[issue.to_sid, issue.from_sid, issue.quote, issue.author,
issue.quote_category, issue.vote, str(issue.quote_length), str(issue.num_unique_words)]
) for issue in issues],
groupable=True,
downloadable=False,
resettable=True,
height='800px'
),
ui.button(name='show_tabs', label='Back', primary=True),
])
elif hash == 'home':
q.page['navigation'] = ui.form_card(box='1 1 4 -1', items=[
ui.text(sample_markdown),
ui.button(name='show_tabs', label='Back', primary=True),
])
else:
q.page['navigation'] = ui.tab_card(
box='1 1 4 1',
items=[
ui.tab(name='#home', label='Home'),
ui.tab(name='#form', label='Quote Table')
],
link = True,
)
await q.page.save()
async def show_results(q: Q):
q.page['main'] = ui.form_card(box="1 2 4 5",
items=[
ui.text_xl("Input Text:"),
ui.separator(),
ui.text(q.app.input_text),
ui.separator(),
ui.buttons([
ui.button(name="get_inputs",
label='Try Again!',
primary=True),
])
])
result = q.app.model(q.app.input_text,
max_length=q.app.num_words_to_generate,
do_sample=False)[0]
q.app.generated_text = result["generated_text"]
q.page['visualization'] = ui.form_card(box="5 2 4 5",
items=[
ui.text_xl("Generated Text:"),
ui.separator(''),
ui.text(q.app.generated_text)
])
async def _initialize_client(self, q: Q):
q.client.input_models = self.input_model_card.input_models
q.client.input_model = self.input_model_card.input_model
await self._load_model(q)
q.client.input_text = self.input_text_card.input_text
q.client.input_text_1 = self.input_text_card.input_text
q.client.input_text_2 = self.input_text_card.input_text
await self._process_text(q)
q.page['meta'] = self.meta_card
q.page['header'] = self.header_card
q.page['footer'] = self.footer_card
q.client.select_ents = sorted(
list(set([x.label_ for x in q.client.doc.ents])))
q.client.split_sentences = self.dependency_settings_card.split_sentences
q.client.fine_grained = self.dependency_settings_card.fine_grained
q.client.add_lemma = self.dependency_settings_card.add_lemma
q.client.collapse_punct = self.dependency_settings_card.collapse_punct
q.client.collapse_phrases = self.dependency_settings_card.collapse_phrases
q.client.compact = self.dependency_settings_card.compact
q.client.color = self.dependency_settings_card.color
q.client.bg = self.dependency_settings_card.bg
q.client.font = self.dependency_settings_card.font
q.client.offset_x = self.dependency_settings_card.offset_x
q.client.arrow_stroke = self.dependency_settings_card.arrow_stroke
q.client.arrow_width = self.dependency_settings_card.arrow_width
q.client.arrow_spacing = self.dependency_settings_card.arrow_spacing
q.client.word_spacing = self.dependency_settings_card.word_spacing
q.client.word_distance = self.dependency_settings_card.word_distance
await self._update_all_cards(q)
async def serve(q: Q):
content = 'Welcome to our store!'
location = q.args['#']
if location:
if location == 'menu/spam':
content = "Sorry, we're out of spam!"
elif location == 'menu/ham':
content = "Sorry, we're out of ham!"
elif location == 'menu/eggs':
content = "Sorry, we're out of eggs!"
elif location == 'about':
content = 'Everything here is gluten-free!'
if not q.client.initialized:
q.page['nav'] = ui.tab_card(
box='1 1 4 1',
items=[
ui.tab(name='#menu/spam', label='Spam'),
ui.tab(name='#menu/ham', label='Ham'),
ui.tab(name='#menu/eggs', label='Eggs'),
ui.tab(name='#about', label='About'),
],
value=f'#{location}' if location else None,
)
q.page['blurb'] = ui.markdown_card(
box='1 2 4 2',
title='Store',
content=content,
)
q.client.initialized = True
elif location:
blurb = q.page['blurb']
blurb.content = content
await q.page.save()
async def serve(q: Q):
q.page['form'] = ui.form_card(
box='1 1 -1 11',
items=[
ui.table(name='issues',
columns=columns,
rows=[
ui.table_row(name=issue.id,
cells=[
issue.text, issue.status,
issue.notifications, issue.icon,
str(issue.views), issue.progress
]) for issue in issues
])
])
await q.page.save()
async def serve(q: Q):
if q.args.user_files:
q.page['example'].items = [
ui.text_xl('Files uploaded!'),
ui.text(make_link_list(q.args.user_files)),
ui.button(name='back', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(box='1 1 4 10',
items=[
ui.text_xl('Upload some files'),
ui.file_upload(name='user_files',
label='Upload',
multiple=True),
])
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
q.page['example'] = ui.form_card(
box='1 1 4 10',
items=[
ui.text(f'date_trigger={q.args.date_trigger}'),
ui.date_picker(name='date_trigger',
label='Pick a date',
trigger=True),
])
q.client.initialized = True
else:
q.page['example'].items[
0].text.content = f'Selected date: {q.args.date_trigger}'
q.page['example'].items[1].date_picker.value = q.args.date_trigger
await q.page.save()
async def update_dashboard(q: Q):
customer_record = q.user.dataset[q.user.dataset['CustomerID'] ==
q.args.customer_id].iloc(0)[0]
q.page['content'] = add_text_card(box='3 2 9 1',
text="Credit Score for CustomerID: " +
str(q.args.customer_id))
q.page['row11'] = add_gauge_card(box='3 3 1 2',
key='Credit Score',
value=1 - customer_record['prediction'])
q.page['row12'] = add_stat_card(box='4 3 2 2',
key='MonthlyIncome',
value=customer_record['MonthlyIncome'])
q.page['row13'] = add_stat_card(box='6 3 2 2',
key='Age',
value=customer_record['Age'])
q.page['row14'] = add_stat_card(box='8 3 2 2',
key='DebtRatio',
value=customer_record['DebtRatio'])
q.page['row15'] = add_stat_card(
box='10 3 2 2',
key='TotalCreditBalance',
value=customer_record['TotalCreditBalance'])
q.page['row21'] = add_chart(box='3 5 4 4',
title="Global Credit Scores",
plot_type='area')
q.page['row22'] = add_chart(box='7 5 5 4',
title="Global Feature Importance")
q.page['row31'] = add_text_card(box='3 9 9 -1', text=q.user.about_text)
q.page['row21'].data = [(x, y) for x, y in zip(
q.user.dataset["CustomerID"], q.user.dataset['prediction'])][:100]
q.page['row22'].data = [(x, y) for x, y in zip(
q.user.fe["Original Feature"], q.user.fe['Relative Importance'])][:10]
await q.page.save()
async def serve(q: Q):
if q.args.show_inputs:
q.page['example'].items = [
ui.text(f'selected={q.args.issues}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(box='1 1 -1 11', items=[
ui.table(
name='issues',
columns=columns,
rows=[ui.table_row(name=issue.id, cells=[issue.text]) for issue in issues],
values=['I1', 'I2', 'I3']
),
ui.button(name='show_inputs', label='Submit', primary=True)
])
await q.page.save()
async def serve(q: Q):
if 'standard_button' in q.args:
q.page['example'].items = [
ui.text(f'primary_button={q.args.primary_button}'),
ui.text(f'standard_button={q.args.standard_button}'),
ui.text(f'standard_disabled_button={q.args.standard_disabled_button}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(box='1 1 4 10', items=[
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),
]),
])
await q.page.save()
def render_leaderboard(q: Q):
logger.debug("Creating leaderboard")
for c in q.client.cards:
del q.page[c]
# Create columns for our issue table.
columns = [
ui.table_column(name="user", label="User"),
ui.table_column(name="total",
label="Total Count",
sortable=True,
data_type="number"),
] + [
ui.table_column(
name=t.common_name,
label=t.common_name.title(),
sortable=True,
data_type="number",
) for t in q.client.trees.trees
]
rows = []
for filename in os.listdir(q.user.user.user_dir):
trees = Trees(file=os.path.join(q.user.user.user_dir, filename))
rows += [
ui.table_row(
name="row",
cells=[q.user.user.name,
str(trees.get_total_trees())] +
[str(t.count) for t in trees.trees],
)
]
table = ui.table(
name="tree_table",
columns=columns,
rows=rows,
downloadable=True,
)
q.page["leaderboard"] = ui.form_card(box=ui.boxes(ui.box("body"),
ui.box("top"),
ui.box("top")),
items=[table])
q.client.cards.append("leaderboard")
async def edit_multiple(q: Q):
q.page['form'] = ui.form_card(
box='1 1 4 -1',
items=[
make_issue_table(allow_multiple_selection=True
), # This time, allow multiple selections
ui.buttons([
ui.button(name='reopen_issues',
label='Reopen Selected',
primary=True),
ui.button(name='close_issues',
label='Close Selected',
primary=True),
ui.button(name='back', label='Back to safety')
]),
])
await q.page.save()
async def init(q: Q):
if not q.client.app_initialized:
(q.app.header_png,) = await q.site.upload([config.image_path])
(q.app.training_file_url,) = await q.site.upload([config.training_path])
reset_filters(q)
config.init_dataset()
q.client.app_initialized = True
q.page.drop()
q.page["title"] = ui.header_card(
box=config.boxes["banner"],
title=config.title,
subtitle=config.subtitle,
icon=config.icon,
icon_color=config.color,
)
async def new_todo(q: Q):
# Display an input form
q.page['form'] = ui.form_card(box='1 1 4 10',
items=[
ui.text_l('Add To Do'),
ui.textbox(
name='label',
label='What needs to be done?',
multiline=True),
ui.buttons([
ui.button(name='add_todo',
label='Add',
primary=True),
ui.button(name='show_todos',
label='Back'),
]),
])
await q.page.save()
async def serve(q: Q):
if q.args.show_inputs:
q.page['example'].items = [
ui.text(f'date={q.args.date}'),
ui.text(f'date_placeholder={q.args.date_placeholder}'),
ui.text(f'date_disabled={q.args.date_disabled}'),
ui.text(f'date_boundaries={q.args.date_boundaries}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(box='1 1 4 10', items=[
ui.date_picker(name='date', label='Standard date picker', value='2017-10-19'),
ui.date_picker(name='date_placeholder', label='Date picker with placeholder', placeholder='Pick a date'),
ui.date_picker(name='date_disabled', label='Disabled date picker', value='2017-10-19', disabled=True),
ui.date_picker(name='date_boundaries', label='Date with boundaries', value='2017-10-19', min="2017-10-19", max="2017-10-25"),
ui.button(name='show_inputs', label='Submit', primary=True),
])
await q.page.save()
async def serve(q: Q):
if q.args.show_inputs:
q.page['example'].items = [
ui.text(f'swatch={q.args.swatch}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(box='1 1 4 10', items=[
ui.color_picker(
name='swatch',
label='Pick a swatch',
choices=[
'#011627', '#2EC4B6', '#E71D36', '#FF9F1C', '#50514F',
'#F25F5C', '#FFE066', '#247BA0', '#70C1B3', '#FDFFFC',
]),
ui.button(name='show_inputs', label='Submit', primary=True),
])
await q.page.save()
async def serve(q: Q):
if q.args.show_inputs:
q.page['example'].items = [
ui.text(f'color={q.args.color}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(box='1 1 4 10',
items=[
ui.color_picker(
name='color',
label='Pick a color',
value='#F25F5C'),
ui.button(name='show_inputs',
label='Submit',
primary=True),
])
await q.page.save()
