154 lines
4.3 KiB
Python
154 lines
4.3 KiB
Python
from argparse import ArgumentParser
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from asyncio import create_task, sleep, run
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from random import randint, choice
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from re import sub
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from transformers import AutoTokenizer, AutoModelForCausalLM
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parser = ArgumentParser()
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parser.add_argument('-n', '--input', help='initial input text')
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parser.add_argument('-b', '--backend', choices=['mastodon', 'misskey', 'matrix'],
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action='append', help='fediverse server type')
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parser.add_argument('-i', '--instance', action='append',
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help='Mastodon instance hosting the bot')
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parser.add_argument('-t', '--token', action='append',
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help='Mastodon application access token')
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parser.add_argument('-d', '--data', default='data',
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help='data for automatic input generation')
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parser.add_argument('-m', '--model', default='model',
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help='path to load saved model')
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parser.add_argument('-y', '--yes', action='store_true',
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help='answer yes to all prompts')
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args = parser.parse_args()
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tokenizer = AutoTokenizer.from_pretrained('gpt2-large')
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model = AutoModelForCausalLM.from_pretrained(args.model).to('cuda')
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def generate_input():
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# Create random input
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if randint(0, 1) == 0:
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return choice([
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'I am',
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'My life is',
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'Computers are',
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'This is',
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'My',
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'I\'ve',
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'No one',
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'I love',
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'I will die of',
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'I',
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'The',
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'Anime',
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'I\'m going to die',
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'Hello',
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'@ta180m@exozy.me',
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'Life',
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'My favorite',
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'I\'m not',
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'I hate',
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'I think',
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'In my opinion',
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'Breaking news:',
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'Have I ever told you that',
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'I read on the news that',
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'I never knew that',
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'My dream is',
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'It\'s terrible that',
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'My new theory:',
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'My conspiracy theory',
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'The worst thing'
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])
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else:
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with open(args.data, 'r') as f:
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# Get a line with at least two words
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lines = f.readlines()
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line = choice(lines).split()
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while len(line) < 2:
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line = choice(lines).split()
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return line[0] + ' ' + line[1]
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if args.input is None:
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args.input = generate_input()
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# Loop until we're satisfied
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while True:
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# Run the input through the model
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print(args.input)
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inputs = tokenizer.encode(args.input, return_tensors='pt').to('cuda')
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output = tokenizer.decode(model.generate(
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inputs, max_length=150, do_sample=True, top_p=0.9)[0])
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print(output)
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# Prepare the post
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output = output.split('\n')
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post = output[0]
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if len(post) < 200 and len(output) > 1:
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post = output[0] + '\n' + output[1]
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post = post[:500]
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# Remove mentions
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post = sub('(@[^ ]*)@[^ ]*', '\\1', post)
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if args.yes:
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break
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# Prompt the user
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res = input('Post/Retry/New input/Custom input/Quit: ')
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if res not in 'prnPRNcC':
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quit()
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if res in 'pP':
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break
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if res in 'nN':
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args.input = generate_input()
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if res in 'cC':
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args.input = input('Enter custom input: ')
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# Post it!
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for backend, instance, token in zip(args.backend, args.instance, args.token):
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if backend == 'mastodon':
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from mastodon import Mastodon
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mastodon = Mastodon(
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access_token=token,
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api_base_url=instance
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)
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mastodon.status_post(post)
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elif backend == 'misskey':
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from Misskey import Misskey
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misskey = Misskey(instance, i=token)
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misskey.notes_create(post)
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elif backend == 'matrix':
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import simplematrixbotlib as botlib
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creds = botlib.Creds(instance, 'ebooks', token)
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bot = botlib.Bot(creds)
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@bot.listener.on_startup
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async def room_joined(room_id):
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await bot.api.send_text_message(room_id=room_id, message=post)
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async def wait_quit():
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await sleep(5)
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quit()
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async def run_bot():
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run = create_task(bot.main())
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wait = create_task(wait_quit())
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await run
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await wait
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run(run_bot())
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