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Merge pull request #69 from McCloudS/Custom-Params

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Adds custom regroup method to clean up subtitles
This commit is contained in:
McCloudS
2024-03-23 09:16:00 -06:00
committed by GitHub
parent e2c77cf70f 92f4f150fd
commit 92960b7256
1 changed files with 10 additions and 3 deletions
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13
subgen.py
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@@ -60,6 +60,7 @@ reload_script_on_change = convert_to_bool(os.getenv('RELOAD_SCRIPT_ON_CHANGE', F
model_prompt = os.getenv('USE_MODEL_PROMPT', 'False')
custom_model_prompt = os.getenv('CUSTOM_MODEL_PROMPT', '')
lrc_for_audio_files = convert_to_bool(os.getenv('LRC_FOR_AUDIO_FILES', True))
custom_regroup = os.getenv('CUSTOM_REGROUP', 'cm_sl=84_sl=42++++++1')
if transcribe_device == "gpu":
transcribe_device = "cuda"
@@ -335,9 +336,12 @@ def asr(
start_model()
files_to_transcribe.insert(0, f"Bazarr-asr-{random_name}")
audio_data = np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0
if(model_prompt):
if model_prompt:
custom_model_prompt = greetings_translations.get(language, '') or custom_model_prompt
result = model.transcribe_stable(audio_data, task=task, input_sr=16000, language=language, progress_callback=progress, initial_prompt=custom_model_prompt)
if custom_regroup:
result = model.transcribe_stable(audio_data, task=task, input_sr=16000, language=language, progress_callback=progress, initial_prompt=custom_model_prompt, regroup=custom_regroup)
else:
result = model.transcribe_stable(audio_data, task=task, input_sr=16000, language=language, progress_callback=progress, initial_prompt=custom_model_prompt)
appendLine(result)
elapsed_time = time.time() - start_time
minutes, seconds = divmod(int(elapsed_time), 60)
@@ -448,7 +452,10 @@ def gen_subtitles(file_path: str, transcribe_or_translate: str, front=True, forc
if force_detected_language_to:
forceLanguage = force_detected_language_to
logging.info(f"Forcing language to {forceLanguage}")
result = model.transcribe_stable(file_path, language=forceLanguage, task=transcribe_or_translate, progress_callback=progress, initial_prompt=custom_model_prompt)
if custom_regroup:
result = model.transcribe_stable(file_path, language=forceLanguage, task=transcribe_or_translate, progress_callback=progress, initial_prompt=custom_model_prompt, regroup=custom_regroup)
else:
result = model.transcribe_stable(file_path, language=forceLanguage, task=transcribe_or_translate, progress_callback=progress, initial_prompt=custom_model_prompt)
appendLine(result)
file_name, file_extension = os.path.splitext(file_path)
if isAudioFileExtension(file_extension) and lrc_for_audio_files: