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Update subgen.py

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This commit is contained in:
McCloudS
2024-03-05 08:37:35 -07:00
committed by GitHub
parent 8daca4afbd
commit d04dac4a9a
1 changed files with 32 additions and 47 deletions
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79
subgen/subgen.py
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@@ -1,4 +1,4 @@
subgen_version = '2024.3.5.189'
subgen_version = '2024.3.5.188'
from datetime import datetime
import subprocess
@@ -69,24 +69,10 @@ files_to_transcribe = []
subextension = f".subgen.{whisper_model.split('.')[0]}.{namesublang}.srt"
subextensionSDH = f".subgen.{whisper_model.split('.')[0]}.{namesublang}.sdh.srt"
if timestamps:
# Define a custom class that modifies sys.stdout
class TimestampedStdout:
def __init__(self, stdout):
self.stdout = stdout
def write(self, x):
# Append the timestamp to every printed line
self.stdout.write(x.replace("\n", "\n[%s] " % str(datetime.now())))
def flush(self):
# Flush the output
self.stdout.flush()
# Replace sys.stdout with the custom class
sys.stdout = TimestampedStdout(sys.stdout)
if debug:
logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format="%(asctime)s %(levelname)s: %(message)s")
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG, format="%(asctime)s %(levelname)s: %(message)s")
else:
logging.basicConfig(stream=sys.stderr, level=logging.INFO)
logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(asctime)s %(levelname)s: %(message)s")
logging.getLogger("multipart").setLevel(logging.WARNING)
logging.getLogger("urllib3").setLevel(logging.WARNING)
@@ -124,8 +110,7 @@ def status():
@app.post("/webhook")
async def print_warning():
print("*** This is the legacy webhook. You need to update to webhook urls to end in plex, tautulli, emby, or jellyfin instead of webhook. ***")
return ""
return {"*** This is the legacy webhook. You need to update to webhook urls to end in plex, tautulli, emby, or jellyfin instead of webhook. ***"}
@app.post("/tautulli")
def receive_tautulli_webhook(
@@ -142,7 +127,7 @@ def receive_tautulli_webhook(
gen_subtitles(path_mapping(fullpath), transcribe_or_translate, True)
else:
print("This doesn't appear to be a properly configured Tautulli webhook, please review the instructions again!")
return {"This doesn't appear to be a properly configured Tautulli webhook, please review the instructions again!"}
return ""
@@ -168,7 +153,7 @@ def receive_plex_webhook(
except Exception as e:
logging.error(f"Failed to refresh metadata for item {plex_json['Metadata']['ratingKey']}: {e}")
else:
print("This doesn't appear to be a properly configured Plex webhook, please review the instructions again!")
return {"This doesn't appear to be a properly configured Plex webhook, please review the instructions again!"}
return ""
@@ -194,7 +179,7 @@ def receive_jellyfin_webhook(
except Exception as e:
logging.error(f"Failed to refresh metadata for item {ItemId}: {e}")
else:
print("This doesn't appear to be a properly configured Jellyfin webhook, please review the instructions again!")
return {"This doesn't appear to be a properly configured Jellyfin webhook, please review the instructions again!"}
return ""
@@ -216,7 +201,7 @@ def receive_emby_webhook(
gen_subtitles(path_mapping(fullpath), transcribe_or_translate, True)
else:
print("This doesn't appear to be a properly configured Emby webhook, please review the instructions again!")
return {"This doesn't appear to be a properly configured Emby webhook, please review the instructions again!"}
return ""
@@ -239,7 +224,7 @@ def asr(
word_timestamps: bool = Query(default=False, description="Word level timestamps") #not used by Bazarr
):
try:
print(f"Transcribing file from Bazarr/ASR webhook")
logging.info(f"Transcribing file from Bazarr/ASR webhook")
result = None
#give the 'process' a random name so mutliple Bazaar transcribes can operate at the same time.
random_name = random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6)
@@ -255,9 +240,9 @@ def asr(
appendLine(result)
elapsed_time = time.time() - start_time
minutes, seconds = divmod(int(elapsed_time), 60)
print(f"Bazarr transcription is completed, it took {minutes} minutes and {seconds} seconds to complete.")
logging.info(f"Bazarr transcription is completed, it took {minutes} minutes and {seconds} seconds to complete.")
except Exception as e:
print(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}")
logging.info(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}")
finally:
if f"Bazarr-detect-langauge-{random_name}" in files_to_transcribe:
files_to_transcribe.remove(f"Bazarr-detect-langauge-{random_name}")
@@ -290,7 +275,7 @@ def detect_language(
detected_lang_code = model.transcribe_stable(whisper.pad_or_trim(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0), input_sr=16000).language
except Exception as e:
print(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}")
logging.info(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}")
finally:
if f"Bazarr-detect-langauge-{random_name}" in files_to_transcribe:
@@ -358,24 +343,24 @@ def gen_subtitles(file_path: str, transcribe_or_translate: str, front=True, forc
elif os.path.exists(file_path.rsplit('.', 1)[0] + subextensionSDH):
message = f"{file_path} already has a SDH subtitle created for this, skipping it"
if message != None:
print(message)
logging.info(message)
return message
if front:
files_to_transcribe.insert(0, file_path)
else:
files_to_transcribe.append(file_path)
print(f"Added {os.path.basename(file_path)} for transcription.")
logging.info(f"Added {os.path.basename(file_path)} for transcription.")
# Start transcription for the file in a separate thread
print(f"{len(files_to_transcribe)} files in the queue for transcription")
print(f"Transcribing file: {os.path.basename(file_path)}")
logging.info(f"{len(files_to_transcribe)} files in the queue for transcription")
logging.info(f"Transcribing file: {os.path.basename(file_path)}")
start_time = time.time()
start_model()
global force_detected_language_to
if force_detected_language_to:
forceLanguage = force_detected_language_to
print(f"Forcing language to {forceLanguage}")
logging.info(f"Forcing language to {forceLanguage}")
if(hf_transformers):
result = model.transcribe(file_path, language=forceLanguage, batch_size=hf_batch_size, task=transcribe_or_translate)
else:
@@ -384,12 +369,12 @@ def gen_subtitles(file_path: str, transcribe_or_translate: str, front=True, forc
result.to_srt_vtt(get_file_name_without_extension(file_path) + subextension, word_level=word_level_highlight)
elapsed_time = time.time() - start_time
minutes, seconds = divmod(int(elapsed_time), 60)
print(f"Transcription of {os.path.basename(file_path)} is completed, it took {minutes} minutes and {seconds} seconds to complete.")
logging.info(f"Transcription of {os.path.basename(file_path)} is completed, it took {minutes} minutes and {seconds} seconds to complete.")
else:
print(f"File {os.path.basename(file_path)} is already in the transcription list. Skipping.")
logging.info(f"File {os.path.basename(file_path)} is already in the transcription list. Skipping.")
except Exception as e:
print(f"Error processing or transcribing {file_path}: {e}")
logging.info(f"Error processing or transcribing {file_path}: {e}")
finally:
if file_path in files_to_transcribe:
files_to_transcribe.remove(file_path)
@@ -420,7 +405,7 @@ def has_subtitle_language(video_file, target_language):
container.close()
except Exception as e:
print(f"An error occurred: {e}")
logging.info(f"An error occurred: {e}")
return False
def get_plex_file_name(itemid: str, server_ip: str, plex_token: str) -> str:
@@ -476,7 +461,7 @@ def refresh_plex_metadata(itemid: str, server_ip: str, plex_token: str) -> None:
# Check if the request was successful
if response.status_code == 200:
print("Metadata refresh initiated successfully.")
logging.info("Metadata refresh initiated successfully.")
else:
raise Exception(f"Error refreshing metadata: {response.status_code}")
@@ -512,7 +497,7 @@ def refresh_jellyfin_metadata(itemid: str, server_ip: str, jellyfin_token: str)
# Check if the request was successful
if response.status_code == 204:
print("Metadata refresh queued successfully.")
logging.info("Metadata refresh queued successfully.")
else:
raise Exception(f"Error refreshing metadata: {response.status_code}")
@@ -570,7 +555,7 @@ def path_mapping(fullpath):
def transcribe_existing(transcribe_folders, forceLanguage=None):
transcribe_folders = transcribe_folders.split("|")
print("Starting to search folders to see if we need to create subtitles.")
logging.info("Starting to search folders to see if we need to create subtitles.")
logging.debug("The folders are:")
for path in transcribe_folders:
logging.debug(path)
@@ -583,7 +568,7 @@ def transcribe_existing(transcribe_folders, forceLanguage=None):
if has_audio(path):
gen_subtitles(path_mapping(path), transcribe_or_translate, False, forceLanguage)
print("Finished searching and queueing files for transcription")
logging.info("Finished searching and queueing files for transcription")
whisper_languages = {
"en": "english",
@@ -689,15 +674,15 @@ whisper_languages = {
if __name__ == "__main__":
import uvicorn
print(f"Subgen v{subgen_version}")
print("Starting Subgen with listening webhooks!")
print(f"Transcriptions are limited to running {str(concurrent_transcriptions)} at a time")
print(f"Running {str(whisper_threads)} threads per transcription")
print(f"Using {transcribe_device} to encode")
logging.info(f"Subgen v{subgen_version}")
logging.info("Starting Subgen with listening webhooks!")
logging.info(f"Transcriptions are limited to running {str(concurrent_transcriptions)} at a time")
logging.info(f"Running {str(whisper_threads)} threads per transcription")
logging.info(f"Using {transcribe_device} to encode")
if hf_transformers:
print(f"Using Hugging Face Transformers")
logging.info(f"Using Hugging Face Transformers")
else:
print(f"Using faster-whisper")
logging.info(f"Using faster-whisper")
if transcribe_folders:
transcribe_existing(transcribe_folders)
uvicorn.run("subgen:app", host="0.0.0.0", port=int(webhookport), reload=debug, use_colors=True)