mirror of
https://github.com/QuentinFuxa/WhisperLiveKit.git
synced 2026-03-07 22:33:36 +00:00
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
import torch
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import sys
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class TokenBuffer:
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def __init__(self, text="", tokenizer=None, device=None, prefix_token_ids=[]):
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self.text = text
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self.prefix_token_ids = prefix_token_ids
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self.tokenizer = tokenizer
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self.device = device
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def as_token_ids(self, tokenizer=None):
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if tokenizer is None:
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tokenizer = self.tokenizer
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if tokenizer is None:
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raise ValueError("Tokenizer is not set.")
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return self.prefix_token_ids + tokenizer.encode(self.text)
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def as_tensor(self, device=None):
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if device is None:
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device = self.device
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if device is None:
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raise ValueError("Device is not set.")
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tok_ids = self.as_token_ids()
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return torch.tensor(tok_ids,
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dtype=torch.long, device=device).unsqueeze(0)
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def as_tensor_beam(self, beam, device=None):
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t = self.as_tensor(device=device)
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return t.repeat_interleave(beam, dim=0)
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def as_text(self):
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return self.text
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@staticmethod
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def empty(*a, **kw):
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return TokenBuffer(*a,**kw)
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@staticmethod
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def from_text(text, *a, **kw):
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return TokenBuffer(*a, text=text, **kw)
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def is_empty(self):
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return self.text is None or self.text == ""
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def trim_words(self, num=1, after=0):
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'''
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num: how many words to trim from the beginning
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after: how many characters to skip (length of the static prompt)
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'''
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tokenizer = self.tokenizer
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assert tokenizer is not None, "Tokenizer is not set."
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ids = tokenizer.encode(self.text[after:])
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words, wids = self.tokenizer.split_to_word_tokens(ids)
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print(words, file=sys.stderr)
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print(wids, file=sys.stderr)
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if not words:
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return 0
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self.text = self.text[:after] + "".join(words[num:])
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return sum(len(wi) for wi in wids[:num])
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def append_token_ids(self, token_ids):
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tokenizer = self.tokenizer
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assert tokenizer is not None, "Tokenizer is not set."
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self.text += self.tokenizer.decode(token_ids)
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def as_split_word_tokens(self):
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tokenizer = self.tokenizer
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assert tokenizer is not None, "Tokenizer is not set."
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ids = tokenizer.encode(self.text)
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return tokenizer.split_to_word_tokens(ids)
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