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On Windows, I use scoop.sh: https://scoop.sh/#/apps?q=whisper https://scoop.sh/#/apps?q=whisper I was able to do this: scoop install main/whisper-cpp

On Windows, I use scoop.sh: https://scoop.sh/#/apps?q=whisper https://scoop.sh/#/apps?q=whisper I was able to do this: scoop install main/whisper-cpp mkdir models ## Download model file ggml-base.en.bin to models directory above yt-dlp.exe -x --audio-format wav --audio-quality 16K -o "out.wav" ZMklf0vUl18 # Wrangle wav into 16kHz format (param above did not seem to work...) ffmpeg -i out.wav -ar 16000 out-16kHz.wav whisper.exe out-16kHz.wav

llimllib 2y ago
Presumably that used whisper's bundled tiny model, which is no better than youtube CC. A beef I have with whisper-cpp is that they totally refuse to handle model management. With mlx_whisper, I just have to tell it to use a model and it will download it if it's not already present: https://github.com/llimllib/yt-transcribe/blob/244841f83d83304710d1cedba5484cc53de61c9b/yt-transcribe#L236 https://github.com/llimllib/yt-transcribe/blob/244841f83d833... so if I add whisper.cpp as a dependency, I also have to add huggingface-cli or something similar. It also seems like huggingface-cli is not available on scoop
- Leftium 2y ago
  Yes, the model must be downloaded separately (see my edited comment with bash commands/comments). The model is specified via whisper.exe `--model FNAME` parameter. By default, it looks for `models/ggml-base.en.bin`, but even that model must be downloaded separately. So you could do this: # Assumes ggml-large-v3.bin model file[1] was already downloaded to models/ folder whisper.exe --model models/ggml-large-v3.bin out-16kHz.wav [1]: https://huggingface.co/ggerganov/whisper.cpp/blob/main/ggml-large-v3.bin https://huggingface.co/ggerganov/whisper.cpp/blob/main/ggml-...
- Leftium 2y ago
  Not as convenient, but you could also have the user manually install the model, like whisper does. Just forward the error message output by whisper, or even make a more user-friendly error message with instructions on how/where to download the models. Whisper does provide a simple bash script to download models: https://github.com/ggerganov/whisper.cpp/blob/master/models/download-ggml-model.sh https://github.com/ggerganov/whisper.cpp/blob/master/models/... (As a Windows user, I can run bash scripts via Git Bash for Windows[1]) [1]: https://git-scm.com/download/win https://git-scm.com/download/win
  - llimllib 2y ago
    thanks for all the help, I appreciate it.
    - Leftium 2y ago
      Well, thanks to you I found out whisper generates decent audio transcriptions using a local LLM (relatively) easily, even on my 6+ year-old laptop. (I used to upload videos to YouTube just to get the auto captions.) I did some investigation, and it would not be difficult to convert the whisper LRC subtitle output into the format my fork of oTranscribe expects. I already made a simple tool to convert YouTube TTML/SBV subtitle output: https://github.com/Leftium/otrgen https://github.com/Leftium/otrgen
      - llimllib 2y ago
        that's great! whisper is awesome software. I'm working on a golang version that links to whisper.cpp directly to maybe make porting easier/possible

llimllib 2y ago

Presumably that used whisper's bundled tiny model, which is no better than youtube CC. A beef I have with whisper-cpp is that they totally refuse to handle model management. With mlx_whisper, I just have to tell it to use a model and it will download it if it's not already present: https://github.com/llimllib/yt-transcribe/blob/244841f83d83304710d1cedba5484cc53de61c9b/yt-transcribe#L236 https://github.com/llimllib/yt-transcribe/blob/244841f83d833... so if I add whisper.cpp as a dependency, I also have to add huggingface-cli or something similar. It also seems like huggingface-cli is not available on scoop

Leftium 2y ago
Yes, the model must be downloaded separately (see my edited comment with bash commands/comments). The model is specified via whisper.exe `--model FNAME` parameter. By default, it looks for `models/ggml-base.en.bin`, but even that model must be downloaded separately. So you could do this: # Assumes ggml-large-v3.bin model file[1] was already downloaded to models/ folder whisper.exe --model models/ggml-large-v3.bin out-16kHz.wav [1]: https://huggingface.co/ggerganov/whisper.cpp/blob/main/ggml-large-v3.bin https://huggingface.co/ggerganov/whisper.cpp/blob/main/ggml-...
Leftium 2y ago
Not as convenient, but you could also have the user manually install the model, like whisper does. Just forward the error message output by whisper, or even make a more user-friendly error message with instructions on how/where to download the models. Whisper does provide a simple bash script to download models: https://github.com/ggerganov/whisper.cpp/blob/master/models/download-ggml-model.sh https://github.com/ggerganov/whisper.cpp/blob/master/models/... (As a Windows user, I can run bash scripts via Git Bash for Windows[1]) [1]: https://git-scm.com/download/win https://git-scm.com/download/win
- llimllib 2y ago
  thanks for all the help, I appreciate it.
  - Leftium 2y ago
    Well, thanks to you I found out whisper generates decent audio transcriptions using a local LLM (relatively) easily, even on my 6+ year-old laptop. (I used to upload videos to YouTube just to get the auto captions.) I did some investigation, and it would not be difficult to convert the whisper LRC subtitle output into the format my fork of oTranscribe expects. I already made a simple tool to convert YouTube TTML/SBV subtitle output: https://github.com/Leftium/otrgen https://github.com/Leftium/otrgen
    - llimllib 2y ago
      that's great! whisper is awesome software. I'm working on a golang version that links to whisper.cpp directly to maybe make porting easier/possible