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Update subgen.py

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This commit is contained in:
McCloudS
2024-12-03 20:35:32 -07:00
committed by GitHub
parent 29c7c33123
commit 4f890efaec
1 changed files with 23 additions and 12 deletions
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subgen.py
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@@ -384,11 +384,10 @@ async def asr(
file_content = audio_file.file.read()
if encode:
args['audio'] = file_content()
args['audio'] = file_content
else:
args['audio'] = np.frombuffer(file_content, np.int16).flatten().astype(np.float32) / 32768.0
args['input_sr'] = 16000
args['input_sr'] = 16000
if custom_regroup:
args['regroup'] = custom_regroup
@@ -429,8 +428,9 @@ async def asr(
@app.post("/detect-language")
async def detect_language(
audio_file: UploadFile = File(...),
#encode: bool = Query(default=True, description="Encode audio first through ffmpeg") # This is always false from Bazarr
detect_lang_length: int = Query(default=30, description="Detect language on the first X seconds of the file")
encode: bool = Query(default=True, description="Encode audio first through ffmpeg"), # This is always false from Bazarr
detect_lang_length: int = Query(default=detect_language_length, description="Detect language on X seconds of the file"),
detect_lang_offset: int = Query(default=detect_language_start_offset, description="Start Detect language X seconds into the file")
):
if force_detected_language_to:
@@ -441,16 +441,22 @@ async def detect_language(
"language_code": force_detected_language_to.to_iso_639_1()
}
global detect_language_length, detect_language_offset
detected_language = LanguageCode.NONE
language_code = 'und'
if force_detected_language_to:
logging.info(f"ENV FORCE_DETECTED_LANGUAGE_TO is set: Forcing detected language to {force_detected_language_to}\n Returning without detection")
return {"detected_language": force_detected_language_to.to_name(), "language_code": force_detected_language_to.to_iso_639_1()}
if int(detect_lang_length) != 30:
global detect_language_length
# Log custom detection time settings if modified
if detect_lang_length != detect_language_length:
logging.info(f"Detecting language on the first {detect_lang_length} seconds of the audio.")
detect_language_length = detect_lang_length
if int(detect_language_length) != 30:
logging.info(f"Detect language is set to detect on the first {detect_language_length} seconds of the audio.")
if detect_lang_offset != detect_language_start_offset:
logging.info(f"Offsetting language detection by {detect_language_start_offset} seconds.")
detect_language_offset_length = detect_lang_offset
audio_file = extract_audio_segment_to_memory(audio_file, detect_language_start_offset, detect_language_length)
try:
start_model()
random_name = ''.join(random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6))
@@ -458,11 +464,16 @@ async def detect_language(
task_id = { 'path': f"Bazarr-detect-language-{random_name}" }
task_queue.put(task_id)
args = {}
#sample_rate = next(stream.rate for stream in av.open(audio_file.file).streams if stream.type == 'audio')
sample_rate = next(stream.rate for stream in av.open(audio_file.file).streams if stream.type == 'audio')
logging.info(f"Sample rate is: {sample_rate}")
audio_file.file.seek(0)
args['progress_callback'] = progress
args['input_sr'] = 16000
args['audio'] = whisper.pad_or_trim(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0, args['input_sr'] * int(detect_language_length))
if encode:
args['audio'] = whisper.pad_or_trim(audio_file.file.read() , sample_rate * int(detect_language_length))
else:
args['audio'] = whisper.pad_or_trim(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0, args['input_sr'] * int(detect_language_length))
args['input_sr'] = 16000
args.update(kwargs)
detected_language = LanguageCode.from_name(model.transcribe_stable(**args).language)