.gitignore

@@ -1,7 +1,3 @@
-.sekrit
-pyvenv.cfg
-
-__pycache__
-bin/
-lib/
-share/
+.sekrit/
+__pycache__/
+*/__pycache__/

data/aclist

@@ -1,210 +0,0 @@
-Howard Is Bald
-Bald To The Bone
-A Conversation With Howard Wulkan
-Ballad Of Baldness
-Howard Wulkan Is Bald (Acoustic & Jazz Versions)
-Night On Bald Moutain
-You Should Be Balding
-If I Can't Have Hair
-Howard Wulkan (Wesley Willis Version)
-Shut Up Mike, Pt.2
-Art Fag
-It, You're A Metal Band
-Punching Joe Bonni's Face In
-Kill Women
-Steroids Guy
-Everyone In Allston Should Be Killed
-I Noticed That You're Gay
-Dead, Gay And Dropped
-You Look Divorced
-I Hope You Get Deported
-Mike Mahan Has Gingivitis
-Trapped
-You're A Fucking Cunt
-Phyllis Is An Old Annoying Cunt
-A1 Stankus Is Always On The Phone With His Bookie
-Bill Scott's Dumb
-Harvey Korman Is Gay
-You Fucking Break
-Theme From Three Company
-Jeanine Jizm Is A Freak
-Everyone In Anal Cunt Is Dumb
-I Just Saw The Gayest Guy On Earth
-Johnny Violent Getting His Ann Kicked By Morrisey
-Metamorphosis
-I'm Sick Of You
-Howard Wulkan's Bald
-You're A Tready Fucking Pussy
-Tom Arnold
-I Got Athletes Foot Showering At Mike's
-Big Pasts. Bigger Loser
-Marc Payson Is A Drunk
-Your Family Is Dumb
-Furnace
-You're Dumb
-Van Full Of Retards
-Deche Charge Are A Bunch Of Fucking Losers
-Everyone In The Underground Music Scene Is Stupid
-Dumb, Fat and Gross
-I'm Not Stubborn
-Mike Manan's Story
-02657
-Gloves Of Metal
-Bonus Track
-Jack Kevorkian Is Cool
-Valujet
-You've Got No Friends
-You Keep A Diary
-You Own A Store
-You Got Date Raped
-Recycling Is Gay
-You're A Cop
-You Can't Shut Up
-You've Got Cancer
-We Just Disagree
-Hungry Hungry Hippos
-You Are An Interior Decorator
-Pottery's Gay
-Rich Goyette Is Gay
-Branscombe Richmond
-You Live In Allston
-You Are A Good Food Critic
-Just The Two Of Us
-Your Band's In The Cut-Out Bin
-You're Gay
-You Look Adopted
-Your Cousin Is George Lynch
-You Have Goals
-You Drive An Iroc
-You Play On A Softball Team
-Because You're Old
-You Sell Cologne
-Being A Cobbler Is Dumb
-You Live In A Houseboat
-Richard Butler
-311 Sucks
-Your Kid Is Deformed
-You Are An Orphan
-You're Old (Fuck You)
-You Go To Art School
-You're Best Friend Is You
-You're In A Coma
-Windchimes Are Gay
-No, We Don't Want To Do A Split 7" With Your Stupid Fucking Band
-Reni Auberjonois
-Internet Is Gay
-Ha, Ha Your Wife Left You
-Hootie And The Blowfish
-You Went To See Dishwalla And Everclear (You're Gay)
-Locking Drop Dead In McDonalds
-Technology's Gay
-Your Favorite Band Is Supertramp
-I'm In Anal Cunt
-You (Fill In The Blank)
-Kyle From Incantation Has A Mustache
-Bonus Track #3
-Picnic Of Love
-I Respect Your Feelings As A Woman And A Human
-I Wanna Grow Old With You
-Saving Ourselves For Marriage
-Greed Is Something That We Don't Need
-I'm Not That Kind Of Boy
-I Couldn't Afford To Buy You A Present (So I Wrote You This Song)
-I'd Love To Have Your Daughter's Hand In Marriage
-My Woman, My Lover, My Friend
-Waterfall Wishes
-In My Heart There's A Star Named After You
-I Became A Counselor So I Could Tell Rape Victims They Asked For It
-Easy E. Got A.I.D.S. From F. Mercury
-I Like Drugs And Child Abuse
-Laughing When Leonard Peltier Gets Raped In Jail
-I Convinced You To Beat Your Wife On A Daily Basis
-I Sent Concentration Camp Footage To Americas Funniest Home Videos
-Rancid Sucks (And The Clash Sucked Too)
-I Paid J. Howell To Rape You
-I Pushed Your Wife In Front Of The Subway
-Extreme Noise Terror Is Afraid Of Us
-You Rollerblading Faggot
-I Sent A Thankyou Card To The Guy That Raped You
-I Lit Your Baby On Fire
-Body By Auschwitz
-I Intentionally Ran Over Your Dog
-Sweatshops Are Cool
-Woman, Nature's Punching Bag
-I Snuck A Retard In To A Sperm Bank
-Your Kid Committed Suicide Because You Suck
-I Ate Your Horse
-Hitler Was A Sensitive Man
-You Robbed A Sperm Bank Because You're A Cum Guzzling Fag
-I Made Your Kid Get AIDS, So You Could Watch It Die
-I Fucked Your Wife
-Into The Oven
-I Gave Nambla Pictures Of You Kid
-The Only Reason Men Talk To You Is Because They Want To Get Laid, You Stupid Fucking Cunt
-I Made Fun Of You Because Your Kid Just Died
-Domestic Violence Is Really Really Really Funny
-Dictators Are Cool
-Deadbeat Dads Are Cool
-I'm Really Excited About The Upcoming David Buskin Concert
-Being Ignorant Is Awesome
-You're Pregnant, So I Kicked You In The Stomach
-Chris Barnes Is A Pussy
-Tim Is Gay
-B.T./A.C.
-I Sold Your Dog To A Chinese Restaurant
-I Got An Office Job For The Sole Purpose Of Sexually Harassing Women
-split: "ANAL CUNT / THE RAUNCHOUS BROTHERS" (2000)
-The Guy Who Shot His Kid Up With A.I.D.S. Is Awesome
-I Went Back In Time A Voted For Hitler
-Hogging Up The Holocaust
-I'm Hitler
-split: "ANAL CUNT / FLACHENBRAND" (2001)
-Anyone Who Likes The Dillinger Escape Plan Is A Faggot
-I'm Glad You Got Breast Cancer, Cunt
-The South Won't Rise Again
-I'm Glad Jazz Faggots Don't Like Us Anymore
-Bonus Track #5
-7": "Defenders Of The Hate" (2001)
-All Our Fans Are Gay
-Limp Bizkit Think They're Black, But They're Just Gay
-You Were Too Ugly To Rape, So I Just Beat The Shit Out Of You
-Hebosaurus
-Even Though You're Culture Oppresses Women, You Sill Suck You Fucking Towelhead
-If You Don't Like The Village People, You're Fucking Gay
-Obviously Adopted
-Walker, Texas Corpse
-The Word Homophobic Is Gay
-You Converted To Judaism So A Guy Would Touch Your Dick
-Bonus Track #4
-You Quit Doing Heroin, You Pussy
-Fred Shitbreath
-Beating Up Hippies For Their Drugs At A Phish Concert
-Anyone Who Likes The Dillinger Escape Plan Is A Faggot
-I’m Glad You Got Breast Cancer, Cunt
-The South Won’t Rise Again
-I’m Glad Jazz Faggots Don’t Like Us Anymore
-Bonus Track #5
-Ha Ha Holocaust
-We’re Not ‘In Da House’ You Fucking Wigger
-Fuck Yeah!
-Cranking My Band's Demo On A Box At The Beach
-Loudest Stereo
-Kicking Your Ass And Fuckin' Your Bitch
-Hot Girls On The Road
-Whiskey, Coke And Sluts
-All I Give A Fuck About Is Sex
-I'm Gonna Give You A.I.D.S.
-Yay! It's Pink!
-I Wish My Dealer Was Open
-EP: "Wearing Out Our Welcome" (2011)
-Beating Up Niggers That Sell Fake Crack
-One Man Ghetto
-Cop Calling Faggot
-Tsunasum
-Get On Your Knees, Cunt
-Don't Offer Me Weak Drugs Or I'll Kick Your Fucking Ass
-Wearing Out Our Welcome
-Nothings Offensive Anymore
-Wasting Time Writing Anal Cunt Songs
-Caring About Anything Is Gay
-We Are Anal Cunt

data/limericks

@@ -1,473 +0,0 @@
-Limericks I cannot compose,
-With noxious smells in my nose.
-But this one was easy,
-I only felt queasy,
-Because I was sniffing my toes.
-%
-There was a young woman named Bright,
-Whose speed was much faster than light.
-She set out one day,
-In a relative way,
-And returned on the previous night.
-%
-There was an odd fellow named Gus,
-When traveling he made such a fuss.
-He was banned from the train,
-Not allowed on a plane,
-And now travels only by bus.
-%
-There once was a fly on the wall,
-I wonder, why didn’t it fall?
-Because its feet stuck? Or was it just luck?
-Or does gravity miss things so small?
-%
-There once was a man from Tibet,
-Who couldn’t find a cigarette
-So he smoked all his socks,
-and got chicken-pox,
-and had to go to the vet.
-%
-There was a young woman named Bright,
-Whose speed was much faster than light.
-She set out one day,
-In a relative way,
-And returned on the previous night.
-%
-I need a front door for my hall,
-The replacement I bought was too tall.
-So I hacked it and chopped it,
-And carefully lopped it,
-And now the dumb thing is too small
-%
-There once was a boy named Dan,
-who wanted to fry in a pan.
-He tried and he tried,
-and eventually died,
-that weird little boy named Dan.
-%
-A newspaperman named Fling,
-Could make “copy” from any old thing.
-But the copy he wrote,
-Of a five-dollar note,
-Was so good he now wears so much bling.
-%
-I know an old owl named Boo,
-Every night he yelled Hoo,
-Once a kid walked by,
-And started to cry,
-And yelled I don’t have a clue!
-%
-I once fell in love with a blonde,
-But found that she wasn’t so fond.
-Of my pet turtle named Odle,
-whom I’d taught how to Yodel,
-So she dumped him outside in the pond.
-%
-I’d rather have Fingers than Toes,
-I’d rather have Ears than a Nose.
-And as for my Hair,
-I’m glad it’s all there,
-I’ll be awfully sad, when it goes.
-%
-There was a Young Lady whose chin
-Resembled the point of a pin:
-So she had it made sharp,
-And purchased a harp,
-And played several tunes with her chin. (Edward Lear)
-%
-Hickory Dickory dock,
-the mouse ran up the clock;
-the clock struck one
-and down he run;
-hickory Dickory dock. (Charles Perrault)
-%
-There was a faith-healer of Deal,
-Who said: “Although pain isn’t real,
-If I sit on a pin
-And it punctures my skin,
-I dislike what I fancy I feel.
-%
-My dog is really quite hip,
-Except when he takes a cold dip.
-He looks like a fool,
-when he jumps in the pool,
-and reminds me of a sinking ship.
-%
-A painter, who lived in Great Britain,
-Interrupted two girls with their knitting,
-He said, with a sigh,
-That park bench–well I,
-Just painted it, right where you’re sitting.
-%
-There is a young schoolboy named Mason,
-Whose mom cuts his hair with a basin.
-When he stands in one place,
-With a scarf round his face,
-It’s a mystery which way he’s facing.
-%
-There was a young schoolboy of Rye,
-Who was baked by mistake in a pie.
-To his mother’s disgust,
-He emerged through the crust,
-And exclaimed, with a yawn, Where am I?
-%
-An elderly man called Keith,
-Mislaid his set of false teeth.
-They’d been laid on a chair,
-He’d forgot they were there,
-Sat down, and was bitten beneath.
-%
-There was an old man of Peru,
-Who dreamt he was eating his shoe.
-He woke in the night,
-With a terrible fright,
-And found it was perfectly true.
-%
-The incredible Wizard of Oz,
-Retired from his business becoz.
-Due to up-to-date science,
-To most of his clients,
-He wasn’t the Wizard he woz.
-%
-Once I visited France,
-And learned a new, awesome dance.
-I twirled,
-And I swirled,
-And Is it me or the nature of money,
-That’s odd and particularly funny.
-But when I have dough,
-It goes quickly, you know,
-And seeps out of my pockets like honey.
-I lost my pants.
-%
-Is it me or the nature of money,
-That’s odd and particularly funny.
-But when I have dough,
-It goes quickly, you know,
-And seeps out of my pockets like honey.
-%
-There once was a farmer from Leeds,
-Who swallowed a packet of seeds.
-It soon came to pass,
-He was covered with grass,
-But has all the tomatoes he needs.
-%
-A fellow jumped off a high wall,
-And had a most terrible fall.
-He went back to bed,
-With a bump on his head,
-That’s why you don’t jump off a wall.
-%
-A man and his lady-love, Min,
-Skated out where the ice was quite thin.
-Had a quarrel, no doubt,
-For I hear they fell out,
-What a blessing they didn’t fall in!
-%
-There was a young lady of Cork,
-Whose Pa made a fortune in pork.
-He bought for his daughter,
-A tutor who taught her,
-To balance green peas on her fork.
-%
-There once was a Martian called Zed
-With antennae all over his head.
-He sent out a lot
-Di-di-dash-di-dot
-But nobody knew what he said!
-%
-There once was a girl named Sam
-Who did not eat roast beef and ham
-She ate a green apple
-Then drank some Snapple
-Some say she eats like a lamb.
-%
-Said the man with a wink of his eye
-‘But I love you‘ and then the reply
-From the girl, it was heard
-‘You are truly absurd!
-I have only this moment walked by!’
-%
-A wonderful bird is the Pelican.
-His beak can hold more than his belly can.
-He can hold in his beak
-Enough food for a week!
-But I’ll be darned if I know how the hellican?
-%
-There was once a great man in Japan
-Whose name on Tuesday began,
-It lasted through Sunday
-Till twilight on Monday
-And it sounded like stones in a can.
-%
-There was a young man so benighted
-He never knew when he was slighted;
-He would go to a party
-And eat just as hearty,
-As if he’d been really invited.
-%
-There was an old man from Sudan,
-Whose limericks never would scan.
-When told this was so,
-He said, ‘yes, I know.
-‘But I always try to get as many syllables into the last line as I possibly can.’
-%
-A maiden at college, Miss Breeze,
-Weighed down by B.A.s and Lit.D’s,
-Collapsed from the strain,
-Said her doctor, “It’s plain
-You are killing yourself—by degrees!”
-%
-A canner, exceedingly canny,
-One morning remarked to his granny,
-“A canner can can
-Anything that he can;
-But a canner can’t can a can, can he?”
-%
-A mouse in her room woke Miss Dowd
-She was frightened—it must be allowed.
-Soon a happy thought hit her—
-To scare off the critter,
-She sat up in bed and meowed.
-%
-There was a young woman named Kite,
-Whose speed was much faster than light,
-She set out one day,
-In a relative way,
-And returned on the previous night.
-%
-A flea and a fly in a flue,
-Were imprisoned, so what could they do?
-Said the fly, “Let us flee!”
-“Let us fly,” said the flea,
-And they flew through a flaw in the flue.
-%
-A major, with wonderful force,
-Called out in Hyde Park for a horse.
-All the flowers looked round,
-But no horse could be found;
-So he just rhododendron, of course.
-%
-A nifty young flapper named Jane
-While walking was caught in the rain.
-She ran–almost flew,
-Her complexion did too,
-And she reached home exceedingly plain.
-%
-“There’s a train at 4:04,” said Miss Jenny.
-“Four tickets I’ll take; have you any?”
-Said the man at the door,
-“Not four for 4:04,
-For four for 4:04 is too many.”
-%
-A canny young fisher named Fisher
-Once fished from the edge of a fissure.
-A fish with a grin
-Pulled the fisherman in—
-Now they’re fishing the fissure for Fisher.
-%
-Here’s to the chigger,
-The bug that’s no bigger
-Than the point of an undersized pin;
-But the welt that he raises
-Sure itches like blazes,
-And that’s where the rub comes in!
-%
-A cheerful old bear at the Zoo
-Could always find something to do.
-When it bored him, you know,
-To walk to and fro,
-He reversed it and walked fro and to.
-%
-The bottle of perfume that Willie sent
-Was highly displeasing to Millicent;
-Her thanks were so cold
-They quarreled, I’m told,
-Through that silly scent Willie sent Millicent.
-%
-I bought a new Hoover today,
-Plugged it in in the usual way,
-Switched it on – what a din;
-It sucked everything in,
-Now I’m homeless with no place to stay.
-%
-A crossword compiler named Moss
-Who found himself quite at a loss
-When asked, ‘Why so blue?’
-Said, ‘I haven’t a clue
-I’m 2 Down to put 1 Across.’
-%
-I’m papering walls in the loo
-And quite frankly I haven’t a clue;
-For the pattern’s all wrong
-(Or the paper’s too long)
-And I’m stuck to the toilet with glue.
-%
-There once was an old man of Esser,
-Whose knowledge grew lesser and lesser,
-It at last grew so small
-He knew nothing at all
-And now he’s a college professor.
-%
-To compose a sonata today,
-Don’t proceed in the old-fashioned way:
-With your toes on the keys,
-Bang the floor with your knees:
-“Oh how modern!” the critics will say.
-%
-There was a young lady named Perkins,
-Who just simply doted on gherkins.
-In spite of advice,
-She ate so much spice,
-That she pickled her internal workins’.
-%
-There was an old man of Nantucket
-Who kept all his cash in a bucket;
-But his daughter, named Nan
-Ran away with a man —
-And as far as the bucket, Nantucket.
-%
-There was a young lady of Kent,
-Whose nose was most awfully bent.
-She followed her nose
-One day, I suppose —
-And no one knows which way she went.
-%
-There was a young lady named Hannah,
-Who slipped on a peel of banana.
-As she lay on her side,
-More stars she espied
-Than there are in the Star-Spangled Banner.
-%
-There was a dear lady of Eden,
-Who on apples was quite fond of feedin’;
-She gave one to Adam,
-Who said, “Thank you, Madam,”
-And then both skedaddled from Eden.
-%
-A certain young fellow named Bee-Bee
-Wished to wed a woman named Phoebe.
-“But,” he said, “I must see
-What the clerical fee
-Be before Phoebe be Phoebe Bee-Bee
-%
-Remember when nearly sixteen
-On your very first date as a teen
-At the movies? If yes,
-Then I bet you can’t guess
-What was shown on the cinema screen.
-%
-There was an old person of Fratton
-Who would go to church with his hat on.
-‘If I wake up,’ he said,
-‘With a hat on my head,
-I will know that it hasn’t been sat on.’
-%
-My neighbor came over to say
-(Although not in a neighborly way)
-That he’d knock me around
-If I didn’t curb the sound
-Of the classical music I play.
-%
-I told him, “Get out of my place
-You’re an utter uncultured disgrace;
-You’re a simpleton loon.
-Don’t you know a good tune?”
-Then he walloped me square in the face.
-%
-There was a young man from Dealing
-Who caught the bus for Ealing.
-It said on the door
-‘Don’t spit on the floor’
-So he jumped up and spat on the ceiling
-%
-As 007 walked by
-He heard a wee spider say, “Hi.”
-But shaken, he shot
-It right there on the spot
-As it tried to explain, “I’m a spi …”
-%
-A tutor who tooted the flute
-Tried to tutor two tooters to toot
-Said the two to the tutor
-“Is it tougher to toot or
-To tutor two tooters to toot?”
-%
-No woodsman would cut a wood, would he
-If woods would be woodless – nor should he.
-Yet no woodcutter would
-Cut a woody-wood wood
-If no woodsmen cut woody woods, would he?
-%
-There once was a man from the sticks
-Who loved to compose limericks
-But he failed at his sport
-They were always too short
-Parade Daily
-Celebrity interviews, recipes and health tips delivered to your inbox.
-%
-A poet whose friends called him Steve
-Once showed quite a will to achieve
-His skill grew so strong
-That his poems grew long
-And he sadly was forced to abbrev.
-%
-If you catch a chinchilla in Chile
-And cut off its beard, willy-nilly
-You can honestly say
-That you have just made
-A Chilean chinchilla’s chin chilly
-%
-There once was a man named Muvett
-Who lived in the city of Lovett
-But his car broke down
-Two miles out of town
-And Muvett had to shove it to Lovett!
-%
-There once was a beautiful nurse
-Who carried an ugly old purse
-But she tripped on the door
-And fell on the floor
-And they both went away in the hearse.
-%
-There was a young girl from Flynn
-Who was so terribly thin
-When she sipped lemonade
-Through a straw in the shade
-She slipped through the straw and fell in!
-%
-There once was a man from Gorem
-Had a pair of tight pants and he wore ’em
-When he bowed with a grin
-A draft of air rushed in
-And he knew by the sound that he tore ’em!
-%
-There once was a man from the city
-Stooped to pat what he thought was a kitty
-He gave it a pat
-But it wasn’t a cat-
-They buried his clothes – what a pity!
-%
-There once was a gal from Decatur
-Who went to sing in a the-a-ter
-But the poor little thing
-When she started to sing
-Got hit by a rotten termater! (tomato)
-%
-What happens when you retire?
-You really don’t have to inquire –
-No job and no phone
-There’s no place but home,
-And your checkbook’s about to expire!
-%
-At times I’m so mad that I’m hopping.
-My angriness sets my veins popping.
-I yell and I curse,
-With swear words diverse,
-But my wife does much worse: she goes shopping
-%
-One Saturday morning at three,
-A cheese monger’s shop in Paree.
-Collapsed to the ground,
-With a thunderous sound,
-Leaving only a pile of de brie.

lulzbot.py

@@ -1,21 +1,11 @@
-import datetime
-import discord
-from src.flan import flan_speak
-from src.cartman import cartman_speak
-from src.twitter import get_tweet
-from fortune import fortune
-import numpy as np
-
-
-motd = '''
- _          _         ____   ___  _
-| |   _   _| |    ___| __ ) / _ \| |_
-| |  | | | | |   |_  /  _ \| | | | __|
-| |__| |_| | |___ / /| |_) | |_| | |_ 
-|_____\__,_|_____/___|____/ \___/ \__|
+motd ='''                              
+ _          _         ____   ___  _    
+| |   _   _| |    ___| __ ) / _ \| |_  
+| |  | | | | |   |_  /  _ \| | | | __| 
+| |__| |_| | |___ / /| |_) | |_| | |_  
+|_____\__,_|_____/___|____/ \___/ \__| 
 '''
-
-menu = '''```
+menu ='''```
 Commands:
   fortune: tell a fortune
   chuck: give a Chuck Norris quote
@@ -28,68 +18,52 @@ Commands:
 Contribute!
     https://github.com/adoyle0/lulzbot```'''
 
+import discord, datetime
+import numpy as np
+from fortune import fortune
+from src.twitter import get_tweet
+from src.cartman import cartman_speak
+from src.limericks import limerick
 
-chuck_quotes = open('data/chuck_quotes').read().split('\n%\n')
-ligma_list = open('data/ligma_list').read().split('\n')
-limericks = open('data/limericks').read().split('\n%\n')
-aclist = open('data/aclist').read().split('\n')
-
+chuck_quotes = open('src/chuck_quotes').read().split('\n%\n')
+ligma_list = open('src/ligma_list').read().split('\n')
 
 def show_menu():
     return menu
 
-
 def musk():
     return get_tweet(44196397)
 
-
 def ligma():
     return np.random.choice(ligma_list)
 
-
-def limerick():
-    return np.random.choice(limericks)
-
-
 def prost():
     return 'https://tenor.com/view/prost-christoph-waltz-django-bier-zum-wohle-gif-11041516'
 
 def chuck():
     return np.random.choice(chuck_quotes)
 
-
-def ac():
-    return np.random.choice(aclist)
-
-
-triggers = {'lulzbot': show_menu,  # these need to be functions
-            'musk': musk,
-            'deez': ligma,
-            'ligma': ligma,
-            'bofa': ligma,
-            'bopha': ligma,
-            'limerick': limerick,
-            'limrick': limerick,
-            'prost!': prost,
-            'fortune': fortune,
-            'chuck': chuck,
-            'ac': ac,
-            }
+message_handler = {'lulzbot': show_menu, # these need to be functions
+                      'musk': musk,
+                      'deez': ligma,
+                     'ligma': ligma,
+                      'bofa': ligma,
+                     'bopha': ligma,
+                  'limerick': limerick,
+                   'limrick': limerick,
+                    'prost!': prost,
+                   'fortune': fortune,
+                     'chuck': chuck,
+                   }
 
 TOKEN = open('.sekrit/discord_token').read()
-intents = discord.Intents.default()
-intents.message_content = True
-client = discord.Client(activity=discord.Game(
-    name='with myself'), intents=intents)
-
+client = discord.Client(activity=discord.Game(name='with myself'))
 
 @client.event
 async def on_ready():
-    print(motd+'\n'+datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') +
-          '\nLogged in as {0.user}'.format(client))
+    print(motd+'\n'+datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')+'\nLogged in as {0.user}'.format(client))
     return
 
-
 @client.event
 async def on_message(message):
     username = str(message.author).split('#')[0]
@@ -101,16 +75,12 @@ async def on_message(message):
         return
 
     elif message.channel.name == 'cartman':
-        await message.channel.send(cartman_speak(user_message))
-        # await message.channel.send("I'm broken, come back later.")
-
-    elif message.channel.name == 'flan':
-        await message.channel.send(flan_speak(user_message))
-        # await message.channel.send('GPU is busy, come back later')
+        async with message.channel.typing():
+            await message.channel.send(cartman_speak(user_message))
 
     elif message.channel.name == 'shitposting':
-        if user_message.lower() in triggers:
-            await message.channel.send(triggers[user_message.lower()]())
+         if user_message in message_handler:
+            await message.channel.send(message_handler[user_message]())
     return
 
 client.run(TOKEN)

requirements.txt

@@ -1,7 +0,0 @@
-discord
-numpy
-fortune-python
-tweepy
-transformers
-torch
-bitsandbytes

run

@@ -1,7 +0,0 @@
-#!/bin/bash
-
-source bin/activate &&
-python -m ensurepip &&
-pip install --upgrade -r requirements.txt &&
-clear &&
-python lulzbot.py

src/cartman.py

@@ -1,40 +1,22 @@
-from transformers.models.auto.modeling_auto import AutoModelForCausalLM
 from transformers.models.auto.tokenization_auto import AutoTokenizer
-import requests
-import json
+from transformers.models.auto.modeling_auto import AutoModelForCausalLM
+import torch
 
-url = 'https://doordesk.net/chat'
+tokenizer = AutoTokenizer.from_pretrained('microsoft/DialoGPT-large')
+model = AutoModelForCausalLM.from_pretrained('../southpark/output-medium')
 
-
-def cartman_respond(user_message):
-    message = {'Message': user_message}
-    response = requests.post(url, json.dumps(message))
-    return response.json().get('Cartman')
-
-
-tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
-model = AutoModelForCausalLM.from_pretrained(
-    "../cartman/train/cartman/models/output-medium-3ep")
-
-
-def cartman_speak(input_text):
-    input_ids = tokenizer(input_text + tokenizer.eos_token,
-                          return_tensors="pt").input_ids
-    outputs = model.generate(
-        input_ids,
+def cartman_speak(user_message):
+    new_user_input_ids = tokenizer.encode(user_message + tokenizer.eos_token, return_tensors='pt')
+    bot_output = new_user_input_ids
+    bot_input_ids = torch.cat([new_user_input_ids, bot_output])
+    bot_output = model.generate(
+        bot_input_ids, max_length= 200,
         pad_token_id=tokenizer.eos_token_id,
-        max_new_tokens=200,
-        num_beams=8,
-        num_beam_groups=4,
         no_repeat_ngram_size=3,
-        length_penalty=1.4,
-        diversity_penalty=0,
-        repetition_penalty=2.1,
-        early_stopping=True,
-
-        # do_sample = True,
-        # top_k = 100,
-        # top_p = 0.7,
-        # temperature = 0.8,
+        do_sample=True,
+        top_k=100,
+        top_p=0.7,
+        temperature=.8
     )
-    return tokenizer.decode(outputs[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
+
+    return '{}'.format(tokenizer.decode(bot_output[:,bot_input_ids.shape[-1]:][0], skip_special_tokens=True))

src/flan.py

@@ -1,38 +0,0 @@
-import torch
-from transformers.models.t5.tokenization_t5_fast import T5TokenizerFast 
-from transformers.models.t5.modeling_t5 import T5ForConditionalGeneration
-
-tokenizer = T5TokenizerFast.from_pretrained("google/flan-t5-xl")
-device = torch.device('cuda')
-model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-xl")
-model = model.to(device)
-
-def flan_speak(user_message):
-    input_ids = tokenizer(user_message, return_tensors='pt').input_ids.to('cuda')
-    user_input_word_count = len(user_message.split(' '))
-
-    if user_input_word_count * user_input_word_count > 100:
-        min_tokens = 100
-    else:
-        min_tokens = user_input_word_count * 2
-
-    bot_output = model.generate(
-        input_ids, 
-      # min_length               = min_tokens,
-        max_new_tokens           = 350,
-        num_beams                = 16,
-        num_beam_groups          = 8,
-        no_repeat_ngram_size     = 3,
-        length_penalty           = 1.4,
-        diversity_penalty        = 0.0,
-        repetition_penalty       = 2.1,
-        early_stopping           = True,
-
-      # do_sample                = True,
-      # top_k                    = 256,
-      # top_p                    = 0.92,
-      # temperature              = 0.4,
-    )
-
-    output = tokenizer.batch_decode(bot_output, skip_special_tokens=True)[0]
-    return output[:2000]

src/limericks.py

@@ -0,0 +1,479 @@
+import numpy as np
+
+def limerick():
+    limericks = [
+        'Limericks I cannot compose,\n\
+        With noxious smells in my nose.\n\
+        But this one was easy,\n\
+        I only felt queasy,\n\
+        Because I was sniffing my toes.',
+    \
+        'There was a young woman named Bright,\n\
+        Whose speed was much faster than light.\n\
+        She set out one day,\n\
+        In a relative way,\n\
+        And returned on the previous night.',
+    \
+        'There was an odd fellow named Gus,\n\
+        When traveling he made such a fuss.\n\
+        He was banned from the train,\n\
+        Not allowed on a plane,\n\
+        And now travels only by bus.',
+    \
+        'There once was a fly on the wall,\n\
+        I wonder, why didn’t it fall?\n\
+        Because its feet stuck? Or was it just luck?\n\
+        Or does gravity miss things so small?',
+    \
+        'There once was a man from Tibet,\n\
+        Who couldn’t find a cigarette\n\
+        So he smoked all his socks,\n\
+        and got chicken-pox,\n\
+        and had to go to the vet.',
+    \
+        'There was a young woman named Bright,\n\
+        Whose speed was much faster than light.\n\
+        She set out one day,\n\
+        In a relative way,\n\
+        And returned on the previous night.',
+    \
+        'I need a front door for my hall,\n\
+        The replacement I bought was too tall.\n\
+        So I hacked it and chopped it,\n\
+        And carefully lopped it,\n\
+        And now the dumb thing is too small',
+    \
+        'There once was a boy named Dan,\n\
+        who wanted to fry in a pan.\n\
+        He tried and he tried,\n\
+        and eventually died,\n\
+        that weird little boy named Dan.',
+    \
+        'A newspaperman named Fling,\n\
+        Could make “copy” from any old thing.\n\
+        But the copy he wrote,\n\
+        Of a five-dollar note,\n\
+        Was so good he now wears so much bling.',
+    \
+        'I know an old owl named Boo,\n\
+        Every night he yelled Hoo,\n\
+        Once a kid walked by,\n\
+        And started to cry,\n\
+        And yelled I don’t have a clue!',
+    \
+        'I once fell in love with a blonde,\n\
+        But found that she wasn’t so fond.\n\
+        Of my pet turtle named Odle,\n\
+        whom I’d taught how to Yodel,\n\
+        So she dumped him outside in the pond.',
+    \
+        'I’d rather have Fingers than Toes,\n\
+        I’d rather have Ears than a Nose.\n\
+        And as for my Hair,\n\
+        I’m glad it’s all there,\n\
+        I’ll be awfully sad, when it goes.',
+    \
+        'There was a Young Lady whose chin\n\
+        Resembled the point of a pin:\n\
+        So she had it made sharp,\n\
+        And purchased a harp,\n\
+        And played several tunes with her chin. (Edward Lear)',
+    \
+        'Hickory Dickory dock,\n\
+        the mouse ran up the clock;\n\
+        the clock struck one\n\
+        and down he run;\n\
+        hickory Dickory dock. (Charles Perrault)',
+    \
+        'There was a faith-healer of Deal,\n\
+        Who said: “Although pain isn’t real,\n\
+        If I sit on a pin\n\
+        And it punctures my skin,\n\
+        I dislike what I fancy I feel.',
+    \
+        'My dog is really quite hip,\n\
+        Except when he takes a cold dip.\n\
+        He looks like a fool,\n\
+        when he jumps in the pool,\n\
+        and reminds me of a sinking ship.',
+    \
+        'A painter, who lived in Great Britain,\n\
+        Interrupted two girls with their knitting,\n\
+        He said, with a sigh,\n\
+        That park bench–well I,\n\
+        Just painted it, right where you’re sitting.',
+    \
+        'There is a young schoolboy named Mason,\n\
+        Whose mom cuts his hair with a basin.\n\
+        When he stands in one place,\n\
+        With a scarf round his face,\n\
+        It’s a mystery which way he’s facing.',
+    \
+        'There was a young schoolboy of Rye,\n\
+        Who was baked by mistake in a pie.\n\
+        To his mother’s disgust,\n\
+        He emerged through the crust,\n\
+        And exclaimed, with a yawn, Where am I?',
+    \
+        'An elderly man called Keith,\n\
+        Mislaid his set of false teeth.\n\
+        They’d been laid on a chair,\n\
+        He’d forgot they were there,\n\
+        Sat down, and was bitten beneath.',
+    \
+        'There was an old man of Peru,\n\
+        Who dreamt he was eating his shoe.\n\
+        He woke in the night,\n\
+        With a terrible fright,\n\
+        And found it was perfectly true.',
+    \
+        'The incredible Wizard of Oz,\n\
+        Retired from his business becoz.\n\
+        Due to up-to-date science,\n\
+        To most of his clients,\n\
+        He wasn’t the Wizard he woz.',
+    \
+        'Once I visited France,\n\
+        And learned a new, awesome dance.\n\
+        I twirled,\n\
+        And I swirled,\n\
+        And Is it me or the nature of money,\n\
+        That’s odd and particularly funny.\n\
+        But when I have dough,\n\
+        It goes quickly, you know,\n\
+        And seeps out of my pockets like honey.\n\
+        I lost my pants.',
+    \
+        'Is it me or the nature of money,\n\
+        That’s odd and particularly funny.\n\
+        But when I have dough,\n\
+        It goes quickly, you know,\n\
+        And seeps out of my pockets like honey.',
+    \
+        'There once was a farmer from Leeds,\n\
+        Who swallowed a packet of seeds.\n\
+        It soon came to pass,\n\
+        He was covered with grass,\n\
+        But has all the tomatoes he needs.',
+    \
+        'A fellow jumped off a high wall,\n\
+        And had a most terrible fall.\n\
+        He went back to bed,\n\
+        With a bump on his head,\n\
+        That’s why you don’t jump off a wall.',
+    \
+        'A man and his lady-love, Min,\n\
+        Skated out where the ice was quite thin.\n\
+        Had a quarrel, no doubt,\n\
+        For I hear they fell out,\n\
+        What a blessing they didn’t fall in!',
+    \
+        'There was a young lady of Cork,\n\
+        Whose Pa made a fortune in pork.\n\
+        He bought for his daughter,\n\
+        A tutor who taught her,\n\
+        To balance green peas on her fork.',
+    \
+        'There once was a Martian called Zed\n\
+        With antennae all over his head.\n\
+        He sent out a lot\n\
+        Di-di-dash-di-dot\n\
+        But nobody knew what he said!',
+    \
+        'There once was a girl named Sam\n\
+        Who did not eat roast beef and ham\n\
+        She ate a green apple\n\
+        Then drank some Snapple\n\
+        Some say she eats like a lamb.',
+    \
+        'Said the man with a wink of his eye\n\
+        ‘But I love you‘ and then the reply\n\
+        From the girl, it was heard\n\
+        ‘You are truly absurd!\n\
+        I have only this moment walked by!’',
+    \
+        'A wonderful bird is the Pelican.\n\
+        His beak can hold more than his belly can.\n\
+        He can hold in his beak\n\
+        Enough food for a week!\n\
+        But I’ll be darned if I know how the hellican?',
+    \
+        'There was once a great man in Japan\n\
+        Whose name on Tuesday began,\n\
+        It lasted through Sunday\n\
+        Till twilight on Monday\n\
+        And it sounded like stones in a can.',
+    \
+        'There was a young man so benighted\n\
+        He never knew when he was slighted;\n\
+        He would go to a party\n\
+        And eat just as hearty,\n\
+        As if he’d been really invited.',
+    \
+        'There was an old man from Sudan,\n\
+        Whose limericks never would scan.\n\
+        When told this was so,\n\
+        He said, ‘yes, I know.\n\
+        ‘But I always try to get as many syllables into the last line as I possibly can.’',
+    \
+        'A maiden at college, Miss Breeze,\n\
+        Weighed down by B.A.s and Lit.D’s,\n\
+        Collapsed from the strain,\n\
+        Said her doctor, “It’s plain\n\
+        You are killing yourself—by degrees!”',
+    \
+        'A canner, exceedingly canny,\n\
+        One morning remarked to his granny,\n\
+        “A canner can can\n\
+        Anything that he can;\n\
+        But a canner can’t can a can, can he?”',
+    \
+        'A mouse in her room woke Miss Dowd\n\
+        She was frightened—it must be allowed.\n\
+        Soon a happy thought hit her—\n\
+        To scare off the critter,\n\
+        She sat up in bed and meowed.',
+    \
+        'There was a young woman named Kite,\n\
+        Whose speed was much faster than light,\n\
+        She set out one day,\n\
+        In a relative way,\n\
+        And returned on the previous night.',
+    \
+        'A flea and a fly in a flue,\n\
+        Were imprisoned, so what could they do?\n\
+        Said the fly, “Let us flee!”\n\
+        “Let us fly,” said the flea,\n\
+        And they flew through a flaw in the flue.',
+    \
+        'A major, with wonderful force,\n\
+        Called out in Hyde Park for a horse.\n\
+        All the flowers looked round,\n\
+        But no horse could be found;\n\
+        So he just rhododendron, of course.',
+    \
+        'A nifty young flapper named Jane\n\
+        While walking was caught in the rain.\n\
+        She ran–almost flew,\n\
+        Her complexion did too,\n\
+        And she reached home exceedingly plain.',
+    \
+        '“There’s a train at 4:04,” said Miss Jenny.\n\
+        “Four tickets I’ll take; have you any?”\n\
+        Said the man at the door,\n\
+        “Not four for 4:04,\n\
+        For four for 4:04 is too many.”',
+    \
+        'A canny young fisher named Fisher\n\
+        Once fished from the edge of a fissure.\n\
+        A fish with a grin\n\
+        Pulled the fisherman in—\n\
+        Now they’re fishing the fissure for Fisher.',
+    \
+        'Here’s to the chigger,\n\
+        The bug that’s no bigger\n\
+        Than the point of an undersized pin;\n\
+        But the welt that he raises\n\
+        Sure itches like blazes,\n\
+        And that’s where the rub comes in!',
+    \
+        'A cheerful old bear at the Zoo\n\
+        Could always find something to do.\n\
+        When it bored him, you know,\n\
+        To walk to and fro,\n\
+        He reversed it and walked fro and to.',
+    \
+        'The bottle of perfume that Willie sent\n\
+        Was highly displeasing to Millicent;\n\
+        Her thanks were so cold\n\
+        They quarreled, I’m told,\n\
+        Through that silly scent Willie sent Millicent.',
+    \
+        'I bought a new Hoover today,\n\
+        Plugged it in in the usual way,\n\
+        Switched it on – what a din;\n\
+        It sucked everything in,\n\
+        Now I’m homeless with no place to stay.',
+    \
+        'A crossword compiler named Moss\n\
+        Who found himself quite at a loss\n\
+        When asked, ‘Why so blue?’\n\
+        Said, ‘I haven’t a clue\n\
+        I’m 2 Down to put 1 Across.’',
+    \
+        'I’m papering walls in the loo\n\
+        And quite frankly I haven’t a clue;\n\
+        For the pattern’s all wrong\n\
+        (Or the paper’s too long)\n\
+        And I’m stuck to the toilet with glue.',
+    \
+        'There once was an old man of Esser,\n\
+        Whose knowledge grew lesser and lesser,\n\
+        It at last grew so small\n\
+        He knew nothing at all\n\
+        And now he’s a college professor.',
+    \
+        'To compose a sonata today,\n\
+        Don’t proceed in the old-fashioned way:\n\
+        With your toes on the keys,\n\
+        Bang the floor with your knees:\n\
+        “Oh how modern!” the critics will say.',
+    \
+        'There was a young lady named Perkins,\n\
+        Who just simply doted on gherkins.\n\
+        In spite of advice,\n\
+        She ate so much spice,\n\
+        That she pickled her internal workins’.',
+    \
+        'There was an old man of Nantucket\n\
+        Who kept all his cash in a bucket;\n\
+        But his daughter, named Nan\n\
+        Ran away with a man —\n\
+        And as far as the bucket, Nantucket.',
+    \
+        'There was a young lady of Kent,\n\
+        Whose nose was most awfully bent.\n\
+        She followed her nose\n\
+        One day, I suppose —\n\
+        And no one knows which way she went.',
+    \
+        'There was a young lady named Hannah,\n\
+        Who slipped on a peel of banana.\n\
+        As she lay on her side,\n\
+        More stars she espied\n\
+        Than there are in the Star-Spangled Banner.',
+    \
+        'There was a dear lady of Eden,\n\
+        Who on apples was quite fond of feedin’;\n\
+        She gave one to Adam,\n\
+        Who said, “Thank you, Madam,”\n\
+        And then both skedaddled from Eden.',
+    \
+        'A certain young fellow named Bee-Bee\n\
+        Wished to wed a woman named Phoebe.\n\
+        “But,” he said, “I must see\n\
+        What the clerical fee\n\
+        Be before Phoebe be Phoebe Bee-Bee',
+    \
+        'Remember when nearly sixteen\n\
+        On your very first date as a teen\n\
+        At the movies? If yes,\n\
+        Then I bet you can’t guess\n\
+        What was shown on the cinema screen.',
+    \
+        'There was an old person of Fratton\n\
+        Who would go to church with his hat on.\n\
+        ‘If I wake up,’ he said,\n\
+        ‘With a hat on my head,\n\
+        I will know that it hasn’t been sat on.’',
+    \
+        'My neighbor came over to say\n\
+        (Although not in a neighborly way)\n\
+        That he’d knock me around\n\
+        If I didn’t curb the sound\n\
+        Of the classical music I play.',
+    \
+        'I told him, “Get out of my place\n\
+        You’re an utter uncultured disgrace;\n\
+        You’re a simpleton loon.\n\
+        Don’t you know a good tune?”\n\
+        Then he walloped me square in the face.',
+    \
+        'There was a young man from Dealing\n\
+        Who caught the bus for Ealing.\n\
+        It said on the door\n\
+        ‘Don’t spit on the floor’\n\
+        So he jumped up and spat on the ceiling',
+    \
+        'As 007 walked by\n\
+        He heard a wee spider say, “Hi.”\n\
+        But shaken, he shot\n\
+        It right there on the spot\n\
+        As it tried to explain, “I’m a spi …”',
+    \
+        'A tutor who tooted the flute\n\
+        Tried to tutor two tooters to toot\n\
+        Said the two to the tutor\n\
+        “Is it tougher to toot or\n\
+        To tutor two tooters to toot?”',
+    \
+        'No woodsman would cut a wood, would he\n\
+        If woods would be woodless – nor should he.\n\
+        Yet no woodcutter would\n\
+        Cut a woody-wood wood\n\
+        If no woodsmen cut woody woods, would he?',
+    \
+        'There once was a man from the sticks\n\
+        Who loved to compose limericks\n\
+        But he failed at his sport\n\
+        They were always too short\n\
+        Parade Daily\n\
+        Celebrity interviews, recipes and health tips delivered to your inbox.',
+    \
+        'A poet whose friends called him Steve\n\
+        Once showed quite a will to achieve\n\
+        His skill grew so strong\n\
+        That his poems grew long\n\
+        And he sadly was forced to abbrev.',
+    \
+        'If you catch a chinchilla in Chile\n\
+        And cut off its beard, willy-nilly\n\
+        You can honestly say\n\
+        That you have just made\n\
+        A Chilean chinchilla’s chin chilly',
+    \
+        'There once was a man named Muvett\n\
+        Who lived in the city of Lovett\n\
+        But his car broke down\n\
+        Two miles out of town\n\
+        And Muvett had to shove it to Lovett!',
+    \
+        'There once was a beautiful nurse\n\
+        Who carried an ugly old purse\n\
+        But she tripped on the door\n\
+        And fell on the floor\n\
+        And they both went away in the hearse.',
+    \
+        'There was a young girl from Flynn\n\
+        Who was so terribly thin\n\
+        When she sipped lemonade\n\
+        Through a straw in the shade\n\
+        She slipped through the straw and fell in!',
+    \
+        'There once was a man from Gorem\n\
+        Had a pair of tight pants and he wore ’em\n\
+        When he bowed with a grin\n\
+        A draft of air rushed in\n\
+        And he knew by the sound that he tore ’em!',
+    \
+        'There once was a man from the city\n\
+        Stooped to pat what he thought was a kitty\n\
+        He gave it a pat\n\
+        But it wasn’t a cat-\n\
+        They buried his clothes – what a pity!',
+    \
+        'There once was a gal from Decatur\n\
+        Who went to sing in a the-a-ter\n\
+        But the poor little thing\n\
+        When she started to sing\n\
+        Got hit by a rotten termater! (tomato)',
+    \
+        'What happens when you retire?\n\
+        You really don’t have to inquire –\n\
+        No job and no phone\n\
+        There’s no place but home,\n\
+        And your checkbook’s about to expire!',
+    \
+        'At times I’m so mad that I’m hopping.\n\
+        My angriness sets my veins popping.\n\
+        I yell and I curse,\n\
+        With swear words diverse,\n\
+        But my wife does much worse: she goes shopping',
+    \
+        'One Saturday morning at three,\n\
+        A cheese monger’s shop in Paree.\n\
+        Collapsed to the ground,\n\
+        With a thunderous sound,\n\
+        Leaving only a pile of de brie.'
+    ]
+    return np.random.choice(limericks)

src/prince.py

@@ -1,61 +0,0 @@
-
-        elif user_message.lower().count('lulzbot tell me about yourself') > 0:
-            await message.channel.send(\
-'In west Philadelphia born and raised\n\
-On the playground was where I spent most of my days')
-            time.sleep(4.6)
-            await message.channel.send('\
-Chillin\' out maxin\' relaxin\' all cool\n\
-And all shooting some b-ball outside of the school')
-            time.sleep(4.6)
-            await message.channel.send('\
-When a couple of guys who were up to no good\n\
-Started making trouble in my neighborhood')
-            time.sleep(4.6)
-            await message.channel.send('\
-I got in one little fight and my mom got scared\n\
-She said, "You\'re movin\' with your auntie and uncle in Bel-Air"')
-            time.sleep(5)
-            await message.channel.send('\
-I begged and pleaded with her day after day\n\
-But she packed my suitcase and sent me on my way')
-            time.sleep(4.6)
-            await message.channel.send('\
-She gave me a kiss and then she gave me my ticket\n\
-I put my Walkman on and said\n\
-"I might as well kick it"')
-            time.sleep(4.5)
-            await message.channel.send('\
-First class, yo, this is bad\n\
-Drinking orange juice out of a champagne glass')
-            time.sleep(4.5)
-            await message.channel.send('\
-Is this what the people of Bel-Air living like?\n\
-Hmm, this might be alright')
-            time.sleep(4.5)
-            await message.channel.send('\
-I whistled for a cab and when it came near\n\
-The license plate said "Fresh" and it had dice in the mirror')
-            time.sleep(4.5)
-            await message.channel.send('\
-If anything I could say that this cab was rare\n\
-But I thought, "Nah, forget it"\n\
-– "Yo, homes to Bel-Air"')
-            time.sleep(4.5)
-            await message.channel.send('\
-I')
-            time.sleep(.5)
-            await message.channel.send('\
-pulled')
-            time.sleep(.5)
-            await message.channel.send('\
-up to the house about 7 or 8\n\
-And I yelled to the cabbie\n\
-"Yo homes smell ya later"')
-            time.sleep(4.5)
-            await message.channel.send('\
-I looked at my kingdom\n\
-I was finally there\n\
-To sit on my throne as the Prince of Bel-Air')
-            return
-

test/cartmantest.py

@@ -1,15 +0,0 @@
-import requests
-import json
-
-url = 'https://doordesk.net/chat'
-
-active = True
-
-while active:
-    user_input = input('>> ')
-    if user_input in 'q':
-        active = False
-        break
-    message = {'Message': user_input}
-    response = requests.post(url,json.dumps(message))
-    print(response.json().get('Cartman'))

test/flantest.py

@@ -1,18 +0,0 @@
-import torch
-from transformers.models.t5.tokenization_t5 import T5Tokenizer 
-from transformers.models.t5.modeling_t5 import T5ForConditionalGeneration
-
-device = torch.device("cuda")
-tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-xl")
-model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-xl").cuda()
-
-run = True
-while run:
-    input_text = input('>> ')
-    if input_text in 'q':
-        run = False
-        break
-    input_ids = tokenizer.encode(input_text, return_tensors="pt").to("cuda")
-
-    outputs = model.generate(input_ids)
-    print(tokenizer.batch_decode(outputs, skip_special_tokens=True)[0])

test/gpt-jt_test.py

@@ -1,18 +0,0 @@
-
-import torch
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-device = torch.device("cuda")
-tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-JT-6B-v1")
-model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-JT-6B-v1").cuda()
-
-run = True
-while run:
-    input_text = input('>> ')
-    if input_text in 'q':
-        run = False
-        break
-    input_ids = tokenizer.encode(input_text, return_tensors="pt").to("cuda")
-
-    outputs = model.generate(input_ids)
-    print(tokenizer.batch_decode(outputs, skip_special_tokens=True)[0])

test/gptjtest.py

@@ -1,17 +0,0 @@
-import torch
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-device = torch.device("cuda")
-tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
-model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B").cuda()
-
-run = True
-while run:
-    input_text = input('>> ')
-    if input_text in 'q':
-        run = False
-        break
-    input_ids = tokenizer.encode(input_text, return_tensors="pt").to("cuda")
-
-    outputs = model.generate(input_ids)
-    print(tokenizer.batch_decode(outputs, skip_special_tokens=True)[0])