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Update subgen.py

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This commit is contained in:
McCloudS
2024-03-21 11:07:03 -06:00
committed by GitHub
parent 6cc499cf6d
commit afc78c7e94
1 changed files with 4 additions and 3 deletions
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subgen.py
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@@ -1,4 +1,4 @@
subgen_version = '2024.3.21.43' subgen_version = '2024.3.21.44'
from datetime import datetime from datetime import datetime
import subprocess import subprocess
@@ -57,6 +57,7 @@ clear_vram_on_complete = convert_to_bool(os.getenv('CLEAR_VRAM_ON_COMPLETE', Tru
compute_type = os.getenv('COMPUTE_TYPE', 'auto') compute_type = os.getenv('COMPUTE_TYPE', 'auto')
append = convert_to_bool(os.getenv('APPEND', False)) append = convert_to_bool(os.getenv('APPEND', False))
reload_script_on_change = convert_to_bool(os.getenv('RELOAD_SCRIPT_ON_CHANGE', False)) reload_script_on_change = convert_to_bool(os.getenv('RELOAD_SCRIPT_ON_CHANGE', False))
model_prompt = os.getenv('MODEL_PROMPT', 'Hello.')
if transcribe_device == "gpu": if transcribe_device == "gpu":
transcribe_device = "cuda" transcribe_device = "cuda"
@@ -332,7 +333,7 @@ def asr(
start_model() start_model()
files_to_transcribe.insert(0, f"Bazarr-asr-{random_name}") 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 audio_data = np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0
result = model.transcribe_stable(audio_data, task=task, input_sr=16000, language=language, progress_callback=progress) result = model.transcribe_stable(audio_data, task=task, input_sr=16000, language=language, progress_callback=progress, initial_prompt=model_prompt)
appendLine(result) appendLine(result)
elapsed_time = time.time() - start_time elapsed_time = time.time() - start_time
minutes, seconds = divmod(int(elapsed_time), 60) minutes, seconds = divmod(int(elapsed_time), 60)
@@ -432,7 +433,7 @@ def gen_subtitles(file_path: str, transcribe_or_translate: str, front=True, forc
if force_detected_language_to: if force_detected_language_to:
forceLanguage = force_detected_language_to forceLanguage = force_detected_language_to
logging.info(f"Forcing language to {forceLanguage}") logging.info(f"Forcing language to {forceLanguage}")
result = model.transcribe_stable(file_path, language=forceLanguage, task=transcribe_or_translate, progress_callback=progress) result = model.transcribe_stable(file_path, language=forceLanguage, task=transcribe_or_translate, progress_callback=progress, initial_prompt=model_prompt)
appendLine(result) appendLine(result)
result.to_srt_vtt(get_file_name_without_extension(file_path) + subextension, word_level=word_level_highlight) result.to_srt_vtt(get_file_name_without_extension(file_path) + subextension, word_level=word_level_highlight)
elapsed_time = time.time() - start_time elapsed_time = time.time() - start_time