Skip to content

Commit

Permalink
Added --output_format option (openai#333)
Browse files Browse the repository at this point in the history
* Added --output option

--output option will help select the output files that will be generated.

Corrected the logic, which wrongly shows progress bar when verbose is set to False

* Changed output_files variable

* Changed back the tqdm verbose

* refactor output format handling

Co-authored-by: Jong Wook Kim <[email protected]>
Co-authored-by: Jong Wook Kim <[email protected]>
  • Loading branch information
3 people authored and abyesilyurt committed Nov 13, 2023
1 parent 12372f5 commit d229661
Show file tree
Hide file tree
Showing 2 changed files with 89 additions and 57 deletions.
21 changes: 6 additions & 15 deletions whisper/transcribe.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
from .audio import SAMPLE_RATE, N_FRAMES, HOP_LENGTH, pad_or_trim, log_mel_spectrogram
from .decoding import DecodingOptions, DecodingResult
from .tokenizer import LANGUAGES, TO_LANGUAGE_CODE, get_tokenizer
from .utils import exact_div, format_timestamp, optional_int, optional_float, str2bool, write_txt, write_vtt, write_srt
from .utils import exact_div, format_timestamp, optional_int, optional_float, str2bool, get_writer

if TYPE_CHECKING:
from .model import Whisper
Expand Down Expand Up @@ -264,6 +264,7 @@ def cli():
parser.add_argument("--model_dir", type=str, default=None, help="the path to save model files; uses ~/.cache/whisper by default")
parser.add_argument("--device", default="cuda" if torch.cuda.is_available() else "cpu", help="device to use for PyTorch inference")
parser.add_argument("--output_dir", "-o", type=str, default=".", help="directory to save the outputs")
parser.add_argument("--output_format", "-f", type=str, default="all", choices=["txt", "vtt", "srt", "json", "all"], help="format of the output file; if not specified, all available formats will be produced")
parser.add_argument("--verbose", type=str2bool, default=True, help="whether to print out the progress and debug messages")

parser.add_argument("--task", type=str, default="transcribe", choices=["transcribe", "translate"], help="whether to perform X->X speech recognition ('transcribe') or X->English translation ('translate')")
Expand All @@ -290,6 +291,7 @@ def cli():
model_name: str = args.pop("model")
model_dir: str = args.pop("model_dir")
output_dir: str = args.pop("output_dir")
output_format: str = args.pop("output_format")
device: str = args.pop("device")
os.makedirs(output_dir, exist_ok=True)

Expand All @@ -312,22 +314,11 @@ def cli():
from . import load_model
model = load_model(model_name, device=device, download_root=model_dir)

writer = get_writer(output_format, output_dir)

for audio_path in args.pop("audio"):
result = transcribe(model, audio_path, temperature=temperature, **args)

audio_basename = os.path.basename(audio_path)

# save TXT
with open(os.path.join(output_dir, audio_basename + ".txt"), "w", encoding="utf-8") as txt:
write_txt(result["segments"], file=txt)

# save VTT
with open(os.path.join(output_dir, audio_basename + ".vtt"), "w", encoding="utf-8") as vtt:
write_vtt(result["segments"], file=vtt)

# save SRT
with open(os.path.join(output_dir, audio_basename + ".srt"), "w", encoding="utf-8") as srt:
write_srt(result["segments"], file=srt)
writer(result, audio_path)


if __name__ == '__main__':
Expand Down
125 changes: 83 additions & 42 deletions whisper/utils.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
import json
import os
import zlib
from typing import Iterator, TextIO
from typing import Callable, TextIO


def exact_div(x, y):
Expand Down Expand Up @@ -45,44 +47,83 @@ def format_timestamp(seconds: float, always_include_hours: bool = False, decimal
return f"{hours_marker}{minutes:02d}:{seconds:02d}{decimal_marker}{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):
print("WEBVTT\n", file=file)
for segment in transcript:
print(
f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n"
f"{segment['text'].strip().replace('-->', '->')}\n",
file=file,
flush=True,
)


def write_srt(transcript: Iterator[dict], file: TextIO):
"""
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)
"""
for i, segment in enumerate(transcript, start=1):
# write srt lines
print(
f"{i}\n"
f"{format_timestamp(segment['start'], always_include_hours=True, decimal_marker=',')} --> "
f"{format_timestamp(segment['end'], always_include_hours=True, decimal_marker=',')}\n"
f"{segment['text'].strip().replace('-->', '->')}\n",
file=file,
flush=True,
)
class ResultWriter:
extension: str

def __init__(self, output_dir: str):
self.output_dir = output_dir

def __call__(self, result: dict, audio_path: str):
audio_basename = os.path.basename(audio_path)
output_path = os.path.join(self.output_dir, audio_basename + "." + self.extension)

with open(output_path, "w", encoding="utf-8") as f:
self.write_result(result, file=f)

def write_result(self, result: dict, file: TextIO):
raise NotImplementedError


class WriteTXT(ResultWriter):
extension: str = "txt"

def write_result(self, result: dict, file: TextIO):
for segment in result["segments"]:
print(segment['text'].strip(), file=file, flush=True)


class WriteVTT(ResultWriter):
extension: str = "vtt"

def write_result(self, result: dict, file: TextIO):
print("WEBVTT\n", file=file)
for segment in result["segments"]:
print(
f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n"
f"{segment['text'].strip().replace('-->', '->')}\n",
file=file,
flush=True,
)


class WriteSRT(ResultWriter):
extension: str = "srt"

def write_result(self, result: dict, file: TextIO):
for i, segment in enumerate(result["segments"], start=1):
# write srt lines
print(
f"{i}\n"
f"{format_timestamp(segment['start'], always_include_hours=True, decimal_marker=',')} --> "
f"{format_timestamp(segment['end'], always_include_hours=True, decimal_marker=',')}\n"
f"{segment['text'].strip().replace('-->', '->')}\n",
file=file,
flush=True,
)


class WriteJSON(ResultWriter):
extension: str = "json"

def write_result(self, result: dict, file: TextIO):
json.dump(result, file)


def get_writer(output_format: str, output_dir: str) -> Callable[[dict, TextIO], None]:
writers = {
"txt": WriteTXT,
"vtt": WriteVTT,
"srt": WriteSRT,
"json": WriteJSON,
}

if output_format == "all":
all_writers = [writer(output_dir) for writer in writers.values()]

def write_all(result: dict, file: TextIO):
for writer in all_writers:
writer(result, file)

return write_all

return writers[output_format](output_dir)

0 comments on commit d229661

Please sign in to comment.