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Create README.md

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+ # A model for predicting the day of week of news article
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+ ## Usage:
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+
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+ ```
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+ import re
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+ from transformers import pipeline
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+ from html import unescape
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+ from unicodedata import normalize
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+
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+ re_multispace = re.compile(r"\s+")
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+
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+ def normalize_text(text):
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+ if text == None:
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+ return None
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+
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+ text = text.strip()
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+ text = text.replace("\n", " ")
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+ text = text.replace("\t", " ")
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+ text = text.replace("\r", " ")
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+ text = re_multispace.sub(" ", text)
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+ text = unescape(text)
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+ text = normalize("NFKC", text)
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+ return text
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+
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+
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+ model = pipeline(task="text-classification",
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+ model=f"hynky/Day_of_week", tokenizer="ufal/robeczech-base",
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+ truncation=True, max_length=512,
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+ top_k=5
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+ )
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+
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+
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+ def predict(article):
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+ article = normalize_text(article)
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+ predictions = model(article)
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+
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+ predict("Dnes v noci bude pršet.")