Dani
0674d51471
Updated brain.py to be a tad more aggressive, and added a cleanup function for the brainmap to cleanup.py
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
import re
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import os
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import json
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from utils.unicleaner import clean_unicode
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VOCAB_PATH = "data/memory/vocab.json"
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def load_vocab():
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if os.path.exists(VOCAB_PATH):
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with open(VOCAB_PATH, "r", encoding="utf-8") as f:
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return json.load(f)
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return {}
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def save_vocab(vocab):
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with open(VOCAB_PATH, "w", encoding="utf-8") as f:
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json.dump(vocab, f, indent=2)
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class Tokenizer:
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def __init__(self):
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self.vocab = {"<pad>": 0, "<unk>": 1, "<start>": 2, "<end>": 3, "<sep>": 4}
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self.reverse_vocab = {0: "<pad>", 1: "<unk>", 2: "<start>", 3: "<end>", 4: "<sep>"}
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self.next_id = 5
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def tokenize(self, text):
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text = clean_unicode(text)
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words = re.findall(r"\b\w+\b", text.lower())
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tokens = []
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for word in words:
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if word not in self.vocab:
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self.vocab[word] = self.next_id
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self.reverse_vocab[self.next_id] = word
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self.next_id += 1
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tokens.append(self.vocab[word])
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save_vocab(self.vocab)
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return tokens
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def detokenize(self, tokens):
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if isinstance(tokens, int):
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tokens = [tokens]
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return " ".join(self.reverse_vocab.get(t, "<unk>") for t in tokens)
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def token_to_id(self, token: str) -> int:
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return self.vocab.get(token, self.vocab["<unk>"])
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def id_to_token(self, idx: int) -> str:
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return self.reverse_vocab.get(idx, "<unk>")
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