33 lines
992 B
Python
33 lines
992 B
Python
from argparse import ArgumentParser
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from mastodon import Mastodon
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from transformers import AutoTokenizer, AutoModelForCausalLM
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parser = ArgumentParser()
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parser.add_argument('-i', '--instance', help='Mastodon instance hosting the bot')
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parser.add_argument('-t', '--token', help='Mastodon application access token')
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parser.add_argument('-n', '--input', help='initial input text')
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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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args = parser.parse_args()
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tokenizer = AutoTokenizer.from_pretrained('distilgpt2')
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model = AutoModelForCausalLM.from_pretrained(args.model)
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# Run the input through the model
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inputs = tokenizer.encode(args.input, return_tensors="pt")
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output = tokenizer.decode(model.generate(
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inputs, do_sample=True, max_length=25, top_p=0.9, temperature=0.8)[0])
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print(output)
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# Post it to Mastodon
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mastodon = Mastodon(
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access_token=args.token,
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api_base_url=args.instance
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)
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mastodon.status_post(output)
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