38 lines
1,013 B
Python
38 lines
1,013 B
Python
from argparse import ArgumentParser
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import torch
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from mastodon import Mastodon
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from dataset import Dataset
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from model import Model
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from predict import predict
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parser = ArgumentParser()
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parser.add_argument('-t', '--token', help='Mastodon application access token')
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parser.add_argument('-i', '--input', default='data',
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help='training data input file')
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parser.add_argument('-e', '--text', default='i am',
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help='initial text for prediction')
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parser.add_argument('-d', '--device', default='cpu',
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help='device to run the model with')
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parser.add_argument('-m', '--model', default='model.pt',
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help='path to load saved model')
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args = parser.parse_args()
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mastodon = Mastodon(
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access_token=args.token,
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api_base_url='https://social.exozy.me/'
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)
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dataset = Dataset(args.input, 32)
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device = torch.device(args.device)
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model = torch.load(args.model)
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text = predict(device, model, args.text)
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print(text)
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# mastodon.status_post(text)
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