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Merge branch 'main' of https://huggingface.co/spaces/SoybeanMilk/whisper-webui-translate
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import textwrap
import unicodedata
import re
import zlib
from typing import Iterator, TextIO, Union
import tqdm
import urllib3
def exact_div(x, y):
assert x % y == 0
return x // y
def str2bool(string):
str2val = {"True": True, "False": False}
if string in str2val:
return str2val[string]
else:
raise ValueError(f"Expected one of {set(str2val.keys())}, got {string}")
def optional_int(string):
return None if string == "None" else int(string)
def optional_float(string):
return None if string == "None" else float(string)
def compression_ratio(text) -> float:
return len(text) / len(zlib.compress(text.encode("utf-8")))
def format_timestamp(seconds: float, always_include_hours: bool = False, fractionalSeperator: str = '.'):
assert seconds >= 0, "non-negative timestamp expected"
milliseconds = round(seconds * 1000.0)
hours = milliseconds // 3_600_000
milliseconds -= hours * 3_600_000
minutes = milliseconds // 60_000
milliseconds -= minutes * 60_000
seconds = milliseconds // 1_000
milliseconds -= seconds * 1_000
hours_marker = f"{hours:02d}:" if always_include_hours or hours > 0 else ""
return f"{hours_marker}{minutes:02d}:{seconds:02d}{fractionalSeperator}{milliseconds:03d}"
def write_txt(transcript: Iterator[dict], file: TextIO):
for segment in transcript:
print(segment['text'].strip(), file=file, flush=True)
def write_vtt(transcript: Iterator[dict], file: TextIO,
maxLineWidth=None, highlight_words: bool = False):
iterator = __subtitle_preprocessor_iterator(transcript, maxLineWidth, highlight_words)
print("WEBVTT\n", file=file)
for segment in iterator:
text = segment['text'].replace('-->', '->')
print(
f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n"
f"{text}\n",
file=file,
flush=True,
)
def write_srt(transcript: Iterator[dict], file: TextIO,
maxLineWidth=None, highlight_words: bool = False):
"""
Write a transcript to a file in SRT format.
Example usage:
from pathlib import Path
from whisper.utils import write_srt
result = transcribe(model, audio_path, temperature=temperature, **args)
# save SRT
audio_basename = Path(audio_path).stem
with open(Path(output_dir) / (audio_basename + ".srt"), "w", encoding="utf-8") as srt:
write_srt(result["segments"], file=srt)
"""
iterator = __subtitle_preprocessor_iterator(transcript, maxLineWidth, highlight_words)
for i, segment in enumerate(iterator, start=1):
text = segment['text'].replace('-->', '->')
# write srt lines
print(
f"{i}\n"
f"{format_timestamp(segment['start'], always_include_hours=True, fractionalSeperator=',')} --> "
f"{format_timestamp(segment['end'], always_include_hours=True, fractionalSeperator=',')}\n"
f"{text}\n",
file=file,
flush=True,
)
def write_srt_original(transcript: Iterator[dict], file: TextIO,
maxLineWidth=None, highlight_words: bool = False, bilingual: bool = False):
"""
Write a transcript to a file in SRT format.
Example usage:
from pathlib import Path
from whisper.utils import write_srt
result = transcribe(model, audio_path, temperature=temperature, **args)
# save SRT
audio_basename = Path(audio_path).stem
with open(Path(output_dir) / (audio_basename + ".srt"), "w", encoding="utf-8") as srt:
write_srt(result["segments"], file=srt)
"""
iterator = __subtitle_preprocessor_iterator(transcript, maxLineWidth, highlight_words)
for i, segment in enumerate(iterator, start=1):
if "original" not in segment:
continue
original = segment['original'].replace('-->', '->')
# write srt lines
print(
f"{i}\n"
f"{format_timestamp(segment['start'], always_include_hours=True, fractionalSeperator=',')} --> "
f"{format_timestamp(segment['end'], always_include_hours=True, fractionalSeperator=',')}",
file=file,
flush=True,
)
if original is not None: print(f"{original}",
file=file,
flush=True)
if bilingual:
text = segment['text'].replace('-->', '->')
print(f"{text}\n",
file=file,
flush=True)
def __subtitle_preprocessor_iterator(transcript: Iterator[dict], maxLineWidth: int = None, highlight_words: bool = False):
for segment in transcript:
words: list = segment.get('words', [])
# Append longest speaker ID if available
segment_longest_speaker = segment.get('longest_speaker', None)
# Yield the segment as-is or processed
if len(words) == 0 and (maxLineWidth is None or maxLineWidth < 0) and segment_longest_speaker is None:
yield segment
if segment_longest_speaker is not None:
segment_longest_speaker = segment_longest_speaker.replace("SPEAKER", "S")
subtitle_start = segment['start']
subtitle_end = segment['end']
text = segment['text'].strip()
original_text = segment['original'].strip() if 'original' in segment else None
if len(words) == 0:
# Prepend the longest speaker ID if available
if segment_longest_speaker is not None:
text = f"({segment_longest_speaker}) {text}"
result = {
'start': subtitle_start,
'end' : subtitle_end,
'text' : process_text(text, maxLineWidth)
}
if original_text is not None and len(original_text) > 0:
result.update({'original': process_text(original_text, maxLineWidth)})
yield result
# We are done
continue
if segment_longest_speaker is not None:
# Add the beginning
words.insert(0, {
'start': subtitle_start,
'end' : subtitle_start,
'word' : f"({segment_longest_speaker})"
})
text_words = [text] if not highlight_words and original_text is not None and len(original_text) > 0 else [ this_word["word"] for this_word in words ]
subtitle_text = __join_words(text_words, maxLineWidth)
# Iterate over the words in the segment
if highlight_words:
last = subtitle_start
for i, this_word in enumerate(words):
start = this_word['start']
end = this_word['end']
if last != start:
# Display the text up to this point
yield {
'start': last,
'end' : start,
'text' : subtitle_text
}
# Display the text with the current word highlighted
yield {
'start': start,
'end' : end,
'text' : __join_words(
[
{
"word": re.sub(r"^(\s*)(.*)$", r"\1<u>\2</u>", word)
if j == i
else word,
# The HTML tags <u> and </u> are not displayed,
# # so they should not be counted in the word length
"length": len(word)
} for j, word in enumerate(text_words)
], maxLineWidth)
}
last = end
if last != subtitle_end:
# Display the last part of the text
yield {
'start': last,
'end' : subtitle_end,
'text' : subtitle_text
}
# Just return the subtitle text
else:
result = {
'start': subtitle_start,
'end' : subtitle_end,
'text' : subtitle_text
}
if original_text is not None and len(original_text) > 0:
result.update({'original': original_text})
yield result
def __join_words(words: Iterator[Union[str, dict]], maxLineWidth: int = None):
if maxLineWidth is None or maxLineWidth < 0:
return " ".join(words)
lines = []
current_line = ""
current_length = 0
for entry in words:
# Either accept a string or a dict with a 'word' and 'length' field
if isinstance(entry, dict):
word = entry['word']
word_length = entry['length']
else:
word = entry
word_length = len(word)
if current_length > 0 and current_length + word_length > maxLineWidth:
lines.append(current_line)
current_line = ""
current_length = 0
current_length += word_length
# The word will be prefixed with a space by Whisper, so we don't need to add one here
current_line += word
if len(current_line) > 0:
lines.append(current_line)
return "\n".join(lines)
def process_text(text: str, maxLineWidth=None):
if (maxLineWidth is None or maxLineWidth < 0):
return text
lines = textwrap.wrap(text, width=maxLineWidth, tabsize=4)
return '\n'.join(lines)
def slugify(value, allow_unicode=False, is_lower=False):
"""
Taken from https://github.com/django/django/blob/master/django/utils/text.py
Convert to ASCII if 'allow_unicode' is False. Convert spaces or repeated
dashes to single dashes. Remove characters that aren't alphanumerics,
underscores, or hyphens. Convert to lowercase. Also strip leading and
trailing whitespace, dashes, and underscores.
"""
value = str(value)
if allow_unicode:
value = unicodedata.normalize('NFKC', value)
else:
value = unicodedata.normalize('NFKD', value).encode('ascii', 'ignore').decode('ascii')
if is_lower:
value = value.lower()
value = re.sub(r'[^\w\s-]', '', value.replace("/","_").replace("⧸","_"))
return re.sub(r'[-\s]+', '-', value).strip('-_')
def download_file(url: str, destination: str):
with urllib3.request.urlopen(url) as source, open(destination, "wb") as output:
with tqdm(
total=int(source.info().get("Content-Length")),
ncols=80,
unit="iB",
unit_scale=True,
unit_divisor=1024,
) as loop:
while True:
buffer = source.read(8192)
if not buffer:
break
output.write(buffer)
loop.update(len(buffer))