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# TODO: rename module
from __future__ import annotations
import re
from dataclasses import dataclass
from speaches.config import config
# TODO: use the `Segment` from `faster-whisper.transcribe` instead
@dataclass
class Segment:
text: str
start: float = 0.0
end: float = 0.0
@property
def is_eos(self) -> bool:
if self.text.endswith("..."):
return False
for punctuation_symbol in ".?!":
if self.text.endswith(punctuation_symbol):
return True
return False
def offset(self, seconds: float) -> None:
self.start += seconds
self.end += seconds
# TODO: use the `Word` from `faster-whisper.transcribe` instead
@dataclass
class Word(Segment):
probability: float = 0.0
@classmethod
def common_prefix(cls, a: list[Word], b: list[Word]) -> list[Word]:
i = 0
while (
i < len(a)
and i < len(b)
and canonicalize_word(a[i].text) == canonicalize_word(b[i].text)
):
i += 1
return a[:i]
class Transcription:
def __init__(self, words: list[Word] = []) -> None:
self.words: list[Word] = []
self.extend(words)
@property
def text(self) -> str:
return " ".join(word.text for word in self.words).strip()
@property
def start(self) -> float:
return self.words[0].start if len(self.words) > 0 else 0.0
@property
def end(self) -> float:
return self.words[-1].end if len(self.words) > 0 else 0.0
@property
def duration(self) -> float:
return self.end - self.start
def after(self, seconds: float) -> Transcription:
return Transcription(
words=[word for word in self.words if word.start > seconds]
)
def extend(self, words: list[Word]) -> None:
self._ensure_no_word_overlap(words)
self.words.extend(words)
def _ensure_no_word_overlap(self, words: list[Word]) -> None:
if len(self.words) > 0 and len(words) > 0:
if (
words[0].start + config.word_timestamp_error_margin
<= self.words[-1].end
):
raise ValueError(
f"Words overlap: {self.words[-1]} and {words[0]}. Error margin: {config.word_timestamp_error_margin}"
)
for i in range(1, len(words)):
if words[i].start + config.word_timestamp_error_margin <= words[i - 1].end:
raise ValueError(
f"Words overlap: {words[i - 1]} and {words[i]}. All words: {words}"
)
def test_segment_is_eos():
assert not Segment("Hello").is_eos
assert not Segment("Hello...").is_eos
assert Segment("Hello.").is_eos
assert Segment("Hello!").is_eos
assert Segment("Hello?").is_eos
assert not Segment("Hello. Yo").is_eos
assert not Segment("Hello. Yo...").is_eos
assert Segment("Hello. Yo.").is_eos
def to_full_sentences(words: list[Word]) -> list[Segment]:
sentences: list[Segment] = [Segment("")]
for word in words:
sentences[-1] = Segment(
start=sentences[-1].start,
end=word.end,
text=sentences[-1].text + word.text,
)
if word.is_eos:
sentences.append(Segment(""))
if len(sentences) > 0 and not sentences[-1].is_eos:
sentences.pop()
return sentences
def tests_to_full_sentences():
assert to_full_sentences([]) == []
assert to_full_sentences([Word(text="Hello")]) == []
assert to_full_sentences([Word(text="Hello..."), Word(" world")]) == []
assert to_full_sentences([Word(text="Hello..."), Word(" world.")]) == [
Segment(text="Hello... world.")
]
assert to_full_sentences(
[Word(text="Hello..."), Word(" world."), Word(" How")]
) == [Segment(text="Hello... world.")]
def to_text(words: list[Word]) -> str:
return "".join(word.text for word in words)
def to_text_w_ts(words: list[Word]) -> str:
return "".join(f"{word.text}({word.start:.2f}-{word.end:.2f})" for word in words)
def canonicalize_word(text: str) -> str:
text = text.lower()
# Remove non-alphabetic characters using regular expression
text = re.sub(r"[^a-z]", "", text)
return text.lower().strip().strip(".,?!")
def test_canonicalize_word():
assert canonicalize_word("ABC") == "abc"
assert canonicalize_word("...ABC?") == "abc"
assert canonicalize_word("... AbC ...") == "abc"
def common_prefix(a: list[Word], b: list[Word]) -> list[Word]:
i = 0
while (
i < len(a)
and i < len(b)
and canonicalize_word(a[i].text) == canonicalize_word(b[i].text)
):
i += 1
return a[:i]
def test_common_prefix():
def word(text: str) -> Word:
return Word(text=text, start=0.0, end=0.0, probability=0.0)
a = [word("a"), word("b"), word("c")]
b = [word("a"), word("b"), word("c")]
assert common_prefix(a, b) == [word("a"), word("b"), word("c")]
a = [word("a"), word("b"), word("c")]
b = [word("a"), word("b"), word("d")]
assert common_prefix(a, b) == [word("a"), word("b")]
a = [word("a"), word("b"), word("c")]
b = [word("a")]
assert common_prefix(a, b) == [word("a")]
a = [word("a")]
b = [word("a"), word("b"), word("c")]
assert common_prefix(a, b) == [word("a")]
a = [word("a")]
b = []
assert common_prefix(a, b) == []
a = []
b = [word("a")]
assert common_prefix(a, b) == []
a = [word("a"), word("b"), word("c")]
b = [word("b"), word("c")]
assert common_prefix(a, b) == []
def test_common_prefix_and_canonicalization():
def word(text: str) -> Word:
return Word(text=text, start=0.0, end=0.0, probability=0.0)
a = [word("A...")]
b = [word("a?"), word("b"), word("c")]
assert common_prefix(a, b) == [word("A...")]
a = [word("A..."), word("B?"), word("C,")]
b = [word("a??"), word(" b"), word(" ,c")]
assert common_prefix(a, b) == [word("A..."), word("B?"), word("C,")]
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