dicklesworthstone / bulk_transcribe_youtube_videos_from_playlist Goto Github PK
View Code? Open in Web Editor NEWEasily take an entire YouTube playlist and turn it into high quality transcripts using Whisper.
License: MIT License
Easily take an entire YouTube playlist and turn it into high quality transcripts using Whisper.
License: MIT License
Issue:
Hi everyone,
I hope you're doing well.
Challenge 1: Choosing a Cloud Service
I'm new to deploying applications, and I'm uncertain about which cloud platform would be the most suitable for hosting Whisper JAX. Any recommendations or advice for someone starting out?
Your insights and expertise would be incredibly helpful. Looking forward to learning from the community!
Thank you,
Sky
Can you support the transcription of episodes, such as providing an mp3 download address, or in the folder there is a local file of the mp3, thank you in advance!
Thank you for your great work. The quality of the transcriptions is great. I just wanted to share with you that the cuda detection did not work for me because it is based on looking for an installation that used Anaconda. I modified your function so that it would find cuda installations in some common situations, such as mine.
def get_cuda_toolkit_path():
# Check for common CUDA toolkit installation directories
common_paths = [
'/usr/local/cuda/bin',
'/usr/local/cuda-*/bin',
]
# Look for nvcc in common paths
for path in common_paths:
cuda_paths = glob.glob(path)
if cuda_paths:
# Return the first matching path
return cuda_paths[0]
# As a fallback, use the 'which' command to find the nvcc binary
nvcc_path = os.popen('which nvcc').read().strip()
if nvcc_path:
# Return the directory containing the nvcc binary
return os.path.dirname(nvcc_path)
# If the CUDA toolkit path is still not found, return None
return None
Error processing video: video is age restricted, and can't be accessed without logging in.
Ideas?
Amateur question: When I execute the script ("python3 bulk_transcribe_youtube_videos_from_playlist.py"), I get the following error:
No module named 'faster_whisper'
Tried installing it via "python3 -m pip install faster_whisper"
Still module cannot be found. What am I missing? Thanks!
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