Create README.md

README.md

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