dasemu/Transcriptarr
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update subgen.py

Browse Source
This commit is contained in:
McCloudS
2024-02-08 08:49:06 -07:00
committed by GitHub
parent fb37f1c816
commit f663622deb
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
subgen/subgen.py
View File

@@ -191,7 +191,7 @@ def asr(
#give the 'process' a random name so mutliple Bazaar transcribes can operate at the same time. #give the 'process' a random name so mutliple Bazaar transcribes can operate at the same time.
random_name = random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6) random_name = random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6)
files_to_transcribe.insert(0, f"Bazarr-detect-langauge-{random_name}") files_to_transcribe.insert(0, f"Bazarr-detect-langauge-{random_name}")
result = model.transcribe_stable(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0, task=task, input_sr=16000) result = model.transcribe_stable(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0, task=task, input_sr=16000, language=language)
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)
print(f"Bazarr transcription is completed, it took {minutes} minutes and {seconds} seconds to complete.") print(f"Bazarr transcription is completed, it took {minutes} minutes and {seconds} seconds to complete.")