app.py

import gradio as gr


list1=[
    'aggressive',
    'agreeable',
    'ambitious',
    'angry',
    'bewildered',
    'brave',
    'calm',
    'clumsy',
    'defeated',
    'delightful',
    'eager',
    'embarrassed',
    'faithful',
    'fierce',
    'gentle',
    'grumpy',
    'happy',
    'helpless',
    'itchy',
    'jealous',
    'jolly',
    'kind',
    'lazy',
    'lively',
    'mysterious',
    'nervous',
    'nice',
    'obedient',
    'obnoxious',
    'panicky',
    'pitiful',
    'polite',
    'proud',
    'repulsive',
    'scary',
    'silly',
    'thankful',
    'thoughtless',
    'uptight',
    'victorious',
    'witty',
    'wonderful',
    'worried',
    'zealous',
]
list2=[
    'Albatross',
    'Alligator',
    'Antelope',
    'Arctic fox',
    'Armadillo',
    'Baboon',
    'Badger',
    'Bat',
    'Beagle',
    'Bear',
    'Beaver',
    'Bison',
    'Blue whale',
    'Boar',
    'Buffalo',
    'Bull',
    'Camel',
    'Cat',
    'Chameleon',
    'Cheetah',
    'Chihuahua',
    'Chimpanzee',
    'Chinchillas',
    'Cobra',
    'Cow',
    'Crocodile',
    'Crow',
    'Deer',
    'Dodo',
    'Dog',
    'Dolphin',
    'Donkey',
    'Duck',
    'Eagle',
    'Eel',
    'Elephant',
    'Elk',
    'Emu',
    'Fish',
    'Flamingo',
    'Flying squirrel',
    'Fox',
    'Frog',
    'Giant Panda',
    'Giraffe',
    'Goat',
    'Goose',
    'Gorilla',
    'Hammerhead shark',
    'Hamster',
    'Hare',
    'Hawk',
    'Hedgehog',
    'Hen',
    'Hermit Crab',
    'Hippopotamus',
    'Horse',
    'Ibex',
    'Iguana',
    'Jackal',
    'Jaguar',
    'Jellyfish',
    'Kangaroo',
    'King Cobra',
    'Koala',
    'Lemur',
    'Leopard',
    'Lion',
    'Lizard',
    'Llama',
    'Lynx',
    'Mammoth',
    'Meerkat',
    'Mole',
    'Monitor lizard',
    'Monkey',
    'Mouse',
    'Mule',
    'Orangutan',
    'Ostrich',
    'Otter',
    'Owl',
    'Panther',
    'Peacock',
    'Pigeon',
    'Polar bear',
    'Porcupine',
    'Possum',
    'Rabbit',
    'Racoon',
    'Rat',
    'Rhinoceros',
    'Sheep',
    'Sloth',
    'Snake',
    'Swan',
    'Tiger',
    'Turtle',
    'Vulture',
    'Whale',
    'Wolf',
    'Wombat',
    'Zebra',
]
list3=[
    'ambled',
    'balanced',
    'barreled',
    'bolted',
    'bounced',
    'bound',
    'burst',
    'careened',
    'climbed',
    'crawled',
    'crept',
    'danced',
    'darted',
    'dashed',
    'dawdlee',
    'dived',
    'dodged',
    'dragged',
    'drove',
    'fast',
    'fell',
    'fled',
    'flew',
    'flipped',
    'flounced',
    'galloped',
    'glided',
    'heaved',
    'hopped',
    'hurled',
    'hurried',
    'jogged',
    'jump',
    'leapt',
    'loitered',
    'lumbered',
    'marched',
    'meandered',
    'melted',
    'moseyed',
    'moved',
    'plodded',
    'plummeted',
    'plunged',
    'pranced',
    'propelled',
    'punched',
    'raced',
    'ran',
    'rolled',
    'rose',
    'rushed',
    'sailed',
    'sauntered',
    'scampered',
    'scrambled',
    'scuttled',
    'shuffled',
    'skated',
    'skipped',
    'skittered',
    'slid',
    'slithered',
    'slouched',
    'smashed',
    'snake',
    'sneaked',
    'soared',
    'sped',
    'sprinted',
    'spun',
    'staggered',
    'stamped',
    'stepped',
    'stomped',
    'strolled',
    'strutted',
    'swaggered',
    'swerved',
    'swooped',
    'swung',
    'tiptoed',
    'trotted',
    'trudge',
    'tumbled',
    'twirled',
    'waddled',
    'walked',
    'waltzed',
    'wiggled',
    'zigzagged',
    'zipped',
    'zoomed',
]
list4=[
    'aboard',
    'above',
    'absent',
    'across',
    'against',
    'along',
    'amid',
    'among',
    'around',
    'at',
    'atop',
    'behind',
    'below',
    'beneath',
    'beside',
    'beyond',
    'by',
    'concerning',
    'despite',
    'down',
    'following',
    'from',
    'in',
    'inside',
    'into',
    'near',
    'next to',
    'over',
    'onto',
    'opposite',
    'out of',
    'outside',
    'past',
    'respecting',
    'since',
    'through',
    'throughout',
    'till',
    'to',
    'touching',
    'towards',
    'under',
    'underneath',
    'until',
    'up',
    'upon',
    'via',
    'with',
    'within',
    'without',

]

list5=[
    'backwater',
    'bank',
    'bay',
    'bayou',
    'beach',
    'bend',
    'bog',
    'brook',
    'canyon',
    'cliff',
    'coast',
    'cove',
    'crater',
    'creek',
    'dell',
    'delta',
    'desert',
    'dock',
    'dunes',
    'fields',
    'flats',
    'forest',
    'fountain',
    'geyser',
    'glacier',
    'glen',
    'grassland',
    'gully',
    'highland',
    'hills',
    'hollow',
    'iceberg',
    'inlet',
    'jetty',
    'jungle',
    'lagoon',
    'lake',
    'marina',
    'marsh',
    'moor',
    'mountain',
    'ocean',
    'peak',
    'pier',
    'plains',
    'plateau',
    'pond',
    'pool',
    'prairie',
    'rainforest',
    'ridge',
    'river',
    'savannah',
    'sea',
    'shore',
    'snowfields',
    'spring',
    'stream',
    'swamp',
    'switchback',
    'trees',
    'tundra',
    'valley',
    'volcano',
    'wharf',
]
def count_complex():
    cnt1=len(list1)
    cnt2=len(list2)
    cnt3=len(list3)
    cnt4=len(list4)
    cnt5=len(list5)
    out=cnt1*cnt2*cnt3*cnt4*cnt5
    return out
    
def fill_phrase(inp1,inp2,inp3,inp4,inp5):
    if inp1 == "": inp1="-blank-"
    if inp2 == "": inp2="-blank-"
    if inp3 == "": inp3="-blank-"
    if inp4 == "": inp4="-blank-"
    if inp5 == "": inp5="-blank-"
    return f"The {inp1} {inp2} {inp3} {inp4} the {inp5}."
#phrase=f"The {inp1} {inp2} {inp3} {inp4} the {inp5}."

with gr.Blocks() as app:
    with gr.Group():
        with gr.Row():
            inp1=gr.Dropdown(value="",choices=(l for l in list1))
            inp2=gr.Dropdown(value="",choices=(l for l in list2))
            inp3=gr.Dropdown(value="",choices=(l for l in list3))
            inp4=gr.Dropdown(value="",choices=(l for l in list4))
            inp5=gr.Dropdown(value="",choices=(l for l in list5))
        with gr.Row():
            out_box=gr.Textbox(scale=2)
            cnt_box=gr.Number(scale=1)
    app.load(fill_phrase,[inp1,inp2,inp3,inp4,inp5],out_box,show_progress=False)
    app.load(count_complex,None,cnt_box)
    inp1.change(fill_phrase,[inp1,inp2,inp3,inp4,inp5],out_box,show_progress=False)
    inp2.change(fill_phrase,[inp1,inp2,inp3,inp4,inp5],out_box,show_progress=False)
    inp3.change(fill_phrase,[inp1,inp2,inp3,inp4,inp5],out_box,show_progress=False)
    inp4.change(fill_phrase,[inp1,inp2,inp3,inp4,inp5],out_box,show_progress=False)
    inp5.change(fill_phrase,[inp1,inp2,inp3,inp4,inp5],out_box,show_progress=False)
    
app.launch()