Linux install instructions

[mlndig]

Hi,
Thanks a lot for all your work.
I've been able to install noScribe and noScribeEdit on linux (ubuntu).

Here are the steps I followed : I hope it might help some people (feel free to edit/reuse as you want).
FYI, I've had to make a few very minor edits in order for the two softwares to work well together. (I might make it cleaner and submit pull requests at some points...)

Installation Instructions:

Note : The procedure below uses a python virtual environment
Make sure to have python and pip installed
Download and extract the latest NoScribe sourcecode from https://github.com/kaixxx/noScribe/releases
Download and extract the latest NoScribeEdit sourcecode from https://github.com/kaixxx/noScribeEditor
Put the noScribeEditor inside the NoScribe folder you dowloaded previously, and rename the noScribeEditor folder as noScribeEdit
Open a terminal and cd in the NoScribe directory
Enter the following command lines :

	python3 -m venv .venv #you may need to replace python3 by python, depending on the version of python installed)
	source .venv/bin/activate
	pip install -r environments/requirements_linux.txt
	pip install -r noScribeEdit/environments/requirements_macOS.txt #Yes it says mac, but there is no linux requirements file at the moment

Download all the files from https://huggingface.co/guillaumekln/faster-whisper-large-v2/tree/main to the models/faster-whisper-large-v2 to the models/faster-whisper-large-v2 within your noScribe folder

Download all the files from https://huggingface.co/guillaumekln/faster-whisper-small/tree/main to the models/faster-whisper-small to the models/faster-whisper-small within your noScribe folder

Edit the noScribe.py file as follow in order to be able to open noScribeEditor from noScribe
Edit line 566 so that it reads
program = os.path.join(app_dir, 'noScribeEdit', "noScribeEdit.py")
Edit line 578 so that it reads
Popen(['python3', program, file], **kwargs) #might need to be python instead of python3 depending on your environment
Edit line 580 so that it reads
Popen(['python3', program], **kwargs)

Launching noScribe :

Open a terminal and cd into the directory where the noScribe sources are located
Activate your virtual environment with
source .venv/bin/activate
Run
python3 noScribe.py

HiDPI issue :

If you have a HiDpi screen, noScribe window and font might be very small.
You can add the following lines to the noScribe.py file after line 70

ctk.set_widget_scaling(2)  # widget dimensions and text size / adjust the value as you see fit
ctk.set_window_scaling(2)  # window geometry dimension / adjust the value as you see fit

Sidenote : Sometimes, when you select a filename for saving, the "." is missing before the extension by default and this throws an error. Just manually add the dot.

[kaixxx]

Thank you very much for these detailed instructions! I will link to this post from the main Readme.

[mlndig]

You're welcome.
And FYI, I've also encountered a "segmentation fault" error, but using the fix suggested here #75 works.

[kaixxx]

I've also encountered a "segmentation fault" error, but using the fix suggested here #75 works.

Thank you for reminding me of this problem. As you can see in the discussion about the pull request, I had some questions, but the original author never got back to me. Could you help me with that (especially the second bullet point in question 2 - checking self.log_textbox.winfo_exists() as a simple solution)?

[mlndig]

Hi,
I'm not sure I fully understand how the code suggested by the original author works, but I've tried the "simple solution" that you suggested (i.e. replacing if where != 'file': by if where != 'file' and self.log_textbox.winfo_exists(): ) and this does NOT work. The segfault error still happens.
It seems to me that the following 3 lines in the original author post are what really matter
# Ensure this is done on the main thread
if not self.log_textbox.winfo_exists():
return # Exit if widget does not exist

[Lychfindel]

Hi, thank you for the instructions!
I am using Ubuntu 24.04, I followed the instructions (using conda environment instead of venv), but I'm getting some errors which, I believe, comes from some wrong version of installed packages.
In particular by following all the instructions I'm getting this error in step2:

Traceback (most recent call last):

  File "/home/ale/whisper/noScribe/diarize.py", line 24, in <module>

    from pyannote.audio import Pipeline

  File "/home/ale/miniconda3/envs/noscribe/lib/python3.9/site-packages/pyannote/audio/__init__.py", line 29, in <module>

    from .core.inference import Inference

  File "/home/ale/miniconda3/envs/noscribe/lib/python3.9/site-packages/pyannote/audio/core/inference.py", line 49, in <module>

    class Inference(BaseInference):

  File "/home/ale/miniconda3/envs/noscribe/lib/python3.9/site-packages/pyannote/audio/core/inference.py", line 533, in Inference

    missing: float = np.NaN,

  File "/home/ale/miniconda3/envs/noscribe/lib/python3.9/site-packages/numpy/__init__.py", line 397, in __getattr__

    raise AttributeError(

AttributeError: `np.NaN` was removed in the NumPy 2.0 release. Use `np.nan` instead.

Therefore I downgraded numpy to version 1.26.4, Step2 runs correctly, but then I'm getting error on Step3 (printed only on GUI):

Error in step 3 - transcription
__init__() got an unexpected keyword argument 'threshold'

and on the terminal the only printed text is:

[2024-11-28 18:10:48.101] [ctranslate2] [thread 113569] [warning] The compute type inferred from the saved model is float16, but the target device or backend do not support efficient float16 computation. The model weights have been automatically converted to use the float32 compute type instead.
INFO:faster_whisper:Processing audio with duration 01:00.000

I don't understand where exactly the threshold is given as argument, and how to fix it.

[mlndig]

Hi,
Can you try to run the software on this file with the default settings, just to confirm that it's not an issue with specific settings or file related ?

If you still get the same error, here is my pip freeze, so you can see if there are any significant version differences :.

AdvancedHTMLParser==9.0.2
aiohappyeyeballs==2.4.0
aiohttp==3.10.5
aiosignal==1.3.1
alembic==1.13.2
altgraph==0.17.4
antlr4-python3-runtime==4.9.3
appdirs==1.4.4
asteroid-filterbanks==0.4.0
attrs==24.2.0
audioread==3.0.1
av==12.3.0
certifi==2024.8.30
cffi==1.17.1
charset-normalizer==3.3.2
click==8.1.7
coloredlogs==15.0.1
colorlog==6.8.2
contourpy==1.3.0
ctranslate2==4.4.0
customtkinter==5.2.2
cycler==0.12.1
darkdetect==0.8.0
decorator==5.1.1
docopt==0.6.2
einops==0.8.0
faster-whisper==1.0.3
ffpyplayer==4.5.1
filelock==3.16.0
flatbuffers==24.3.25
fonttools==4.53.1
frozenlist==1.4.1
fsspec==2024.9.0
greenlet==3.1.0
huggingface-hub==0.24.7
humanfriendly==10.0
HyperPyYAML==1.2.2
idna==3.8
Jinja2==3.1.4
joblib==1.4.2
julius==0.2.7
kiwisolver==1.4.7
lazy_loader==0.4
librosa==0.10.2.post1
lightning==2.4.0
lightning-utilities==0.11.7
llvmlite==0.43.0
Mako==1.3.5
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.9.2
mdurl==0.1.2
mpmath==1.3.0
msgpack==1.1.0
multidict==6.1.0
networkx==3.3
numba==0.60.0
numpy==1.26.4
nvidia-cublas-cu12==12.1.3.1
nvidia-cuda-cupti-cu12==12.1.105
nvidia-cuda-nvrtc-cu12==12.1.105
nvidia-cuda-runtime-cu12==12.1.105
nvidia-cudnn-cu12==9.1.0.70
nvidia-cufft-cu12==11.0.2.54
nvidia-curand-cu12==10.3.2.106
nvidia-cusolver-cu12==11.4.5.107
nvidia-cusparse-cu12==12.1.0.106
nvidia-nccl-cu12==2.20.5
nvidia-nvjitlink-cu12==12.6.68
nvidia-nvtx-cu12==12.1.105
omegaconf==2.3.0
onnxruntime==1.19.2
optuna==4.0.0
packaging==24.1
pandas==2.2.2
pillow==10.4.0
platformdirs==4.3.2
pooch==1.8.2
primePy==1.3
protobuf==5.28.1
pyannote.audio @ git+https://github.com/kaixxx/pyannote-audio.git@d70ce34c3130130d0353f8a231929000db685129
pyannote.core==5.0.0
pyannote.database==5.1.0
pyannote.metrics==3.2.1
pyannote.pipeline==3.0.1
pycparser==2.22
Pygments==2.18.0
pyinstaller==6.10.0
pyinstaller-hooks-contrib==2024.8
pyparsing==3.1.4
PyQt5==5.15.11
PyQt5-Qt5==5.15.15
PyQt5_sip==12.15.0
python-dateutil==2.9.0.post0
python-i18n==0.3.9
pytorch-lightning==2.4.0
pytorch-metric-learning==2.6.0
pytz==2024.2
PyYAML==6.0.2
QDarkStyle==3.2.3
QtAwesome==1.3.1
QtPy==2.4.1
QueryableList==3.1.0
requests==2.32.3
rich==13.8.1
ruamel.yaml==0.18.6
ruamel.yaml.clib==0.2.8
scikit-learn==1.5.2
scipy==1.14.1
semver==3.0.2
sentencepiece==0.2.0
setuptools==74.1.2
shellingham==1.5.4
six==1.16.0
sortedcontainers==2.4.0
soundfile==0.12.1
soxr==0.5.0.post1
speechbrain==0.5.16
SQLAlchemy==2.0.34
sympy==1.13.2
tabulate==0.9.0
tensorboardX==2.6.2.2
threadpoolctl==3.5.0
tokenizers==0.20.0
torch==2.4.1
torch-audiomentations==0.11.1
torch-pitch-shift==1.2.4
torchaudio==2.4.1
torchmetrics==1.4.2
tqdm==4.66.5
triton==3.0.0
typer==0.12.5
typing_extensions==4.12.2
tzdata==2024.1
urllib3==2.2.3
yarl==1.11.1

[gernophil]

Sorry, haven't found the time yet to check and will likely not get back to my Mac today. But I'll promise to check tomorrow. First thing I realize with your pip freeze is that you seem to run noScribe and the noScribeEditor from the same environment. There might be conflicting packages. Better make one environment for noScribe and a separate for noScribeEditor.

We use Python3.9 for noScribe and Python3.10 for noScribeEditor.

[mlndig]

@gernophil, I'm not the person with the issue. In fact everything works perfectly fine on my end.
I'm the person who provided the steps to install noScribe and noScribeEditor on Linux, and so I provided my pip freeze in case that could help @Lychfindel.
(And so, in my case, I have no issue running both noScribe and noScribeEditor in the same environment).

[Lychfindel]

Hi, thanks a lot!
I confirm that the problem was the version of faster-whisper: I had version 1.1.0 and after downgrading to version 1.0.3 everything works correctly! Moreover, also noScribeEditor works fine in the same environment with python 3.9.
I suggest to modify the modify the environment file with a strict fast-whisper==1.1.0

Thanks again!

[gernophil]

Ah, Sorry @mael-lenoc. I'm on the phone and didn't see that was you and not OP. Good to know nS and nSE work from the same env. I never tried that, but maybe we can simplify it a little then.

[danielrosehill]

I reckon this is just a little past my current abilities to install this on Open SUSE. However, I just wanted to say thank you for the effort in providing these instructions and I hope that this comes to Linux via packages at some point. It would be a really useful tool to have.

[kaixxx]

Thank you.
A quick note: You can also install noScribe without the editor. This makes things simpler, since most of the more complicated steps in the instructions above have to do with getting the main program and the editor working together.
However, I would suggest waiting a few days since we are in the process of preparing a new release.

[bluebelluna]

hello, I am a bit unsure about editing the noScribe.py file. I have to say, I have no experiences with coding, but the fact that edit line 566 reads: 'return' and 567 reads 'program: str = None' made me a bit unsure about whether or not the code lines are still the same now as they have been in september 2024, when the instructions were published.

Here are the lines 558-584 in the noScribe.py file. If someone could tell me where the editing is required, that would help a lot. Thank you!

# Source: https://stackoverflow.com/questions/13243807/popen-waiting-for-child-process-even-when-the-immediate-child-has-terminated/13256908#13256908 
    # set system/version dependent "start_new_session" analogs
    if file == '':
        file = self.transcript_file
    ext = os.path.splitext(self.transcript_file)[1][1:]
    if file != '' and ext != 'html':
        file = ''
        if not tk.messagebox.askyesno(title='noScribe', message=t('err_editor_invalid_format')):
            return
    program: str = None
    if platform.system() == 'Windows':
        program = os.path.join(app_dir, 'noScribeEdit', 'noScribeEdit.exe')
    elif platform.system() == "Darwin": # = MAC
        program = os.path.join(os.sep, 'Applications', 'noScribeEdit.app', 'Contents', 'MacOS', 'noScribeEdit')
    elif platform.system() == "Linux":
        if hasattr(sys, "_MEIPASS"):
            program = os.path.join(sys._MEIPASS, 'noScribeEdit', "noScribeEdit")
        else:
            program = os.path.join(app_dir, 'noScribeEdit', "noScribeEdit")
    kwargs = {}
    if platform.system() == 'Windows':
        # from msdn [1]
        CREATE_NEW_PROCESS_GROUP = 0x00000200  # note: could get it from subprocess
        DETACHED_PROCESS = 0x00000008          # 0x8 | 0x200 == 0x208
        kwargs.update(creationflags=DETACHED_PROCESS | CREATE_NEW_PROCESS_GROUP)  
    else:  # should work on all POSIX systems, Linux and macOS 
        kwargs.update(start_new_session=True)

[mlndig]

Hi,
the noScribe.py file currently on the repo is indeed slightly different from the one referred to in this message, as it was last edited 2 weeks ago, I'm assuming in preparation of the new release that should come in the next few days.

I will try to revise the Linux install instruction once the new release is officially here (and maybe even try to build an appimage package for easy install), so if you're not really comfortable with editing python scripts on your own and you're okay waiting a bit, that would probably be your best option.

You can also follow the instructions above without editing the py file. Those edits are not essential, they only provide for a seamless integration between the transcribing program and the editing program. You should still be able to use the transcribing program without the edits suggested.

[bluebelluna]

Thank you so much. Waiting is not a problem. I'll check for the new release :)

[Lunix13]

Hey,

Thanks a lot @mlndig for your install instructions, it all worked out nicely for me!!
I only have an issue with pyannote when I use the speaker detection feature. If it's set to "none" everything works fine. But when set to "auto" or wahtever else, I get
Loading pyannote Error in step 2 - identifiying the speakers.
Did anyone else faced the same issue and could give me some advice?
And sorry that I don't send the logs, I couldn't find where the log files is located...

Thanks for the help!

I use TUXEDO OS x86_64 which is Ubuntu based, with NVIDIA GeForce RTX 4060 Max-Q

[kaixxx]

Does it has something to do with NVDIA

Yes, it seems that it tries to load cuda libraries. Du you have NVIDIA graphics card?
If not, check the config.yml in ~/.local/share/noscribe: pyannote_xpu and whisper_xpu should both be set to cpu.

[Lunix13]

I do have one and it used to work well with noScribe 0.5. What I don't get is why it start using it with pyannote and get stuck with faster-whisper. The card is definitly used in both process.

[gernophil]

can you provide some information on what python and what env you use? system python or manually installed, conda or pip or sth. else? What's your output of nvidia-smi?

[gernophil]

If I got that correct, you are using the systems python. I personally wouldn't recommend that, but it's doable. What version is this btw? However, that means you need to install the CUDA libraries as well. Maybe those are simply outdated.
This might help: jhj0517/Whisper-WebUI#346 (comment)
(I would use apt over apt-get)

[kaixxx]

This might help: jhj0517/Whisper-WebUI#346 (comment)

Yes, the newer versions of faster-whisper are no longer working with cuda 11 (as far as I remember), but need cuda 12.
After you updated cuda, I would also suggest to reinstall all the packages with pip install -r environments/requirements_linux.txt or, even cleaner, create a new venv and install everything from scratch. PyTorch in particular has different versions for cuda 11 and 12.

[Lunix13]

I apologize for providing so little infos about my system, so here are a few:
nvidia-smi result as

+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.86.15              Driver Version: 570.86.15      CUDA Version: 12.8     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce RTX 4060 ...    Off |   00000000:01:00.0 Off |                  N/A |
| N/A   41C    P8              2W /   30W |      18MiB /   8188MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A            1867      G   /usr/lib/xorg/Xorg                        4MiB |
+-----------------------------------------------------------------------------------------+

I'm using Ubuntu 24, running noScribe in a virtual environnement, so trough
source .venv/bin/activate and
python3 noScribe.py
also, as written up here, I'm using Python3, which is as far as I recall, manualy installed, but I'm not sure
I did a fresh reinstall of cuda library trying to solve the problem yesterday and I'm using legacy NVIDIA drivers, not the open source Nouveau drivers

[Lunix13]

so I tried again with a clean environnement (new venv) but not a complete fresh install, and I get a new kind of error. The process works a bit longer tough and I get more transcript

INFO:faster_whisper:Processing audio with duration 39:51.377
INFO:faster_whisper:VAD filter removed 05:32.017 of audio
DEBUG:faster_whisper:VAD filter kept the following audio segments: [00:01.136 -> 00:02.608], [00:03.472 -> 00:07.088], [00:07.632 -> 00:17.904], [00:21.456 -> 00:26.768], [00:27.280 -> 00:28.688], [00:29.808 -> 00:55.376], [00:57.136 -> 00:58.384], [00:58.672 -> 01:36.624], [01:37.520 -> 01:43.696], [01:44.048 -> 01:45.648], [01:46.960 -> 01:53.168], [01:53.584 -> 01:55.088], [01:56.784 -> 02:30.096], [02:30.928 -> 02:43.696], [02:44.784 -> 02:53.136], [02:53.424 -> 02:56.240], [02:56.624 -> 03:04.048], [03:04.336 -> 03:06.192], [03:07.024 -> 03:14.800], [03:15.376 -> 03:17.328], [03:17.968 -> 03:23.664], [03:24.432 -> 03:30.992], [03:32.176 -> 04:05.232], [04:06.224 -> 04:16.944], [04:17.744 -> 04:19.088], [04:20.080 -> 04:21.488], [04:21.744 -> 04:26.448], [04:26.704 -> 04:28.624], [04:29.904 -> 04:33.392], [04:35.120 -> 04:47.184], [04:47.888 -> 04:58.320], [04:59.600 -> 05:00.784], [05:03.184 -> 05:05.584], [05:05.840 -> 05:10.256], [05:10.832 -> 05:15.504], [05:16.816 -> 05:21.232], [05:21.648 -> 05:24.240], [05:24.496 -> 05:27.024], [05:30.704 -> 05:43.664], [05:45.168 -> 05:54.288], [05:54.608 -> 05:55.952], [05:56.848 -> 06:03.696], [06:04.144 -> 06:20.496], [06:20.880 -> 07:00.112], [07:00.656 -> 07:07.248], [07:07.536 -> 07:09.840], [07:11.184 -> 07:22.000], [07:22.640 -> 07:27.920], [07:28.912 -> 07:39.664], [07:40.752 -> 07:51.856], [07:53.328 -> 08:03.536], [08:04.176 -> 08:05.392], [08:13.200 -> 08:17.584], [08:18.128 -> 08:30.832], [08:31.152 -> 08:33.808], [08:34.256 -> 09:07.536], [09:08.432 -> 09:38.832], [09:39.536 -> 09:45.936], [09:46.256 -> 10:25.616], [10:26.352 -> 10:44.912], [10:45.264 -> 10:47.024], [10:48.016 -> 11:04.720], [11:05.616 -> 11:22.960], [11:23.568 -> 11:27.824], [11:28.336 -> 11:30.448], [11:31.472 -> 11:45.072], [11:45.328 -> 11:46.672], [11:47.472 -> 12:09.840], [12:10.096 -> 12:23.792], [12:25.040 -> 12:28.080], [12:28.720 -> 12:30.288], [12:30.768 -> 12:38.768], [12:39.824 -> 12:42.768], [12:46.160 -> 12:48.688], [12:49.040 -> 13:01.616], [13:03.696 -> 13:28.432], [13:29.136 -> 13:35.056], [13:35.792 -> 13:48.816], [13:49.392 -> 14:04.432], [14:05.520 -> 14:07.056], [14:11.152 -> 14:14.064], [14:14.352 -> 14:27.536], [14:28.240 -> 14:30.096], [14:30.384 -> 14:39.952], [14:40.432 -> 14:42.096], [14:42.608 -> 14:43.952], [14:44.688 -> 15:06.032], [15:06.704 -> 15:10.512], [15:10.864 -> 15:24.752], [15:25.008 -> 15:30.736], [15:31.664 -> 15:52.848], [15:53.200 -> 15:58.192], [15:58.448 -> 16:03.472], [16:03.888 -> 16:05.808], [16:06.544 -> 16:20.240], [16:21.296 -> 16:37.648], [16:38.224 -> 16:53.104], [16:53.392 -> 17:00.560], [17:01.776 -> 17:24.112], [17:24.496 -> 17:47.248], [17:48.912 -> 17:50.160], [17:52.880 -> 18:01.680], [18:02.352 -> 18:04.048], [18:05.136 -> 18:08.720], [18:09.424 -> 18:27.280], [18:27.824 -> 18:31.120], [18:32.496 -> 18:49.904], [18:50.608 -> 19:02.992], [19:06.096 -> 19:08.656], [19:09.328 -> 19:22.320], [19:22.736 -> 19:26.384], [19:26.768 -> 19:28.016], [19:28.656 -> 19:33.392], [19:33.680 -> 19:35.216], [19:37.744 -> 19:39.216], [19:39.792 -> 19:44.464], [19:44.752 -> 19:47.152], [19:48.336 -> 19:50.384], [19:51.248 -> 19:54.224], [19:57.968 -> 19:59.792], [20:00.368 -> 20:09.520], [20:09.840 -> 20:12.336], [20:12.880 -> 20:14.000], [20:15.440 -> 20:25.488], [20:26.192 -> 20:32.432], [20:34.320 -> 20:41.648], [20:42.416 -> 20:43.792], [20:44.176 -> 20:48.848], [20:50.288 -> 20:51.152], [20:57.520 -> 20:59.856], [21:00.112 -> 21:05.872], [21:06.128 -> 21:07.312], [21:08.528 -> 21:12.560], [21:13.168 -> 21:14.320], [21:14.896 -> 21:21.424], [21:21.840 -> 21:22.992], [21:24.688 -> 21:26.832], [21:27.568 -> 21:31.856], [21:32.880 -> 21:37.616], [21:38.800 -> 21:54.384], [21:56.432 -> 21:57.840], [21:58.448 -> 22:06.480], [22:06.992 -> 22:18.640], [22:25.808 -> 22:27.088], [22:27.696 -> 22:34.768], [22:35.408 -> 22:36.624], [22:40.720 -> 22:52.688], [22:54.256 -> 22:58.320], [22:58.832 -> 23:08.240], [23:09.616 -> 23:19.600], [23:22.640 -> 23:23.632], [23:27.760 -> 23:29.040], [23:29.520 -> 23:37.872], [23:39.920 -> 23:42.640], [23:48.528 -> 23:53.936], [23:56.304 -> 24:04.880], [24:05.552 -> 24:55.152], [24:55.600 -> 24:56.912], [24:59.152 -> 25:04.400], [25:05.008 -> 25:15.728], [25:16.112 -> 25:38.864], [25:41.808 -> 25:44.976], [25:47.024 -> 25:54.448], [25:54.992 -> 26:09.040], [26:09.552 -> 26:16.688], [26:17.232 -> 26:21.008], [26:21.712 -> 26:23.152], [26:25.200 -> 26:28.464], [26:30.448 -> 26:32.944], [26:34.544 -> 26:41.424], [26:42.608 -> 26:43.536], [26:46.736 -> 26:54.032], [27:03.376 -> 27:04.400], [27:06.256 -> 27:13.904], [27:17.136 -> 27:23.440], [27:25.392 -> 27:32.752], [27:33.168 -> 27:38.704], [27:39.024 -> 27:42.256], [27:42.576 -> 27:56.656], [27:57.104 -> 27:59.152], [27:59.728 -> 28:07.184], [28:07.760 -> 28:09.136], [28:09.488 -> 28:14.160], [28:14.640 -> 28:15.984], [28:18.096 -> 28:25.424], [28:30.096 -> 28:36.656], [28:39.952 -> 28:44.016], [28:45.104 -> 28:50.640], [28:51.984 -> 28:58.704], [28:59.248 -> 29:07.920], [29:09.008 -> 29:11.280], [29:11.952 -> 29:23.568], [29:24.080 -> 29:34.672], [29:35.088 -> 29:38.160], [29:39.056 -> 29:40.080], [29:45.296 -> 29:52.432], [29:53.584 -> 29:57.360], [29:58.000 -> 29:59.088], [30:00.272 -> 30:01.872], [30:02.224 -> 30:05.872], [30:06.128 -> 30:10.416], [30:10.768 -> 30:23.120], [30:23.376 -> 30:28.176], [30:28.560 -> 30:38.000], [30:38.448 -> 30:42.320], [30:42.992 -> 31:04.240], [31:04.816 -> 31:21.392], [31:23.568 -> 31:24.848], [31:26.992 -> 31:31.568], [31:32.944 -> 31:39.504], [31:40.304 -> 31:42.512], [31:43.152 -> 31:58.928], [32:00.432 -> 32:12.464], [32:13.040 -> 32:17.584], [32:19.056 -> 32:42.576], [32:43.376 -> 32:50.736], [32:52.336 -> 32:56.528], [32:56.880 -> 33:14.192], [33:14.896 -> 33:16.368], [33:18.736 -> 33:33.488], [33:33.776 -> 34:43.280], [34:44.112 -> 34:47.792], [34:48.624 -> 34:49.584], [34:50.128 -> 34:53.328], [34:57.328 -> 35:12.784], [35:13.552 -> 35:18.192], [35:22.384 -> 35:49.520], [35:50.096 -> 35:51.632], [35:53.904 -> 35:56.112], [35:56.496 -> 36:05.808], [36:07.664 -> 36:11.088], [36:11.696 -> 36:12.976], [36:17.072 -> 36:24.240], [36:25.232 -> 36:27.376], [36:28.048 -> 36:34.032], [36:35.696 -> 36:40.528], [36:42.128 -> 36:50.256], [36:50.576 -> 36:56.208], [36:57.968 -> 37:00.912], [37:03.312 -> 37:06.384], [37:09.488 -> 37:11.632], [37:12.752 -> 37:22.064], [37:22.320 -> 37:31.184], [37:31.984 -> 37:34.832], [37:35.760 -> 37:36.688], [37:38.992 -> 38:07.440], [38:07.696 -> 38:12.944], [38:14.320 -> 38:15.408], [38:18.000 -> 38:21.808], [38:22.448 -> 38:29.552], [38:35.056 -> 38:39.920], [38:41.264 -> 38:47.216], [38:47.696 -> 38:50.512], [38:52.752 -> 39:01.232], [39:01.616 -> 39:06.640], [39:07.312 -> 39:13.616], [39:13.936 -> 39:15.248], [39:19.536 -> 39:23.184], [39:29.392 -> 39:38.800], [39:39.696 -> 39:49.040]
DEBUG:faster_whisper:Processing segment at 00:00.000
DEBUG:faster_whisper:Processing segment at 00:19.680
DEBUG:faster_whisper:Processing segment at 00:48.220
DEBUG:faster_whisper:Processing segment at 01:18.220
DEBUG:faster_whisper:Processing segment at 01:47.300
DEBUG:faster_whisper:Processing segment at 02:07.600
DEBUG:faster_whisper:Processing segment at 02:20.940
DEBUG:faster_whisper:Processing segment at 02:36.000
DEBUG:faster_whisper:Processing segment at 02:46.280
DEBUG:faster_whisper:Processing segment at 03:03.380
DEBUG:faster_whisper:Processing segment at 03:22.460
DEBUG:faster_whisper:Processing segment at 03:51.580
DEBUG:faster_whisper:Processing segment at 04:21.580
DEBUG:faster_whisper:Processing segment at 04:50.460
DEBUG:faster_whisper:Processing segment at 05:14.940
DEBUG:faster_whisper:Processing segment at 05:36.580
Segmentation fault

with compatible cttranslate and torch versions as of that post: SYSTRAN/faster-whisper#1086
my (partial) peep freeze output is the following:

ctranslate2==4.5.0
torch==2.6.0+cu124
nvidia-cublas-cu12==12.4.5.8
nvidia-cuda-cupti-cu12==12.4.127
nvidia-cuda-nvrtc-cu12==12.4.127
nvidia-cuda-runtime-cu12==12.4.127
nvidia-cudnn-cu12==9.1.0.70
nvidia-cufft-cu12==11.2.1.3
nvidia-curand-cu12==10.3.5.147
nvidia-cusolver-cu12==11.6.1.9
nvidia-cusparse-cu12==12.3.1.170
nvidia-cusparselt-cu12==0.6.2
nvidia-nccl-cu12==2.21.5
nvidia-nvjitlink-cu12==12.4.127
nvidia-nvtx-cu12==12.4.127
pytorch-lightning==2.5.0.post0
pytorch-metric-learning==2.8.1
pytz==2025.1

So I feel like everything is matching...
@gernophil you said you "personally wouldn't recommend [using the systems python], but it's doable.", what would you rather recommend?

I'll try a fresh install tomorrow.

Thanks again for your support!

[kaixxx]

Thank you, @Lunix13, for being so patient and persistent. I hope this will lead to a more stable Linux version for everyone in the end.

Regarding the Segmentation fault: This might be an issue we had before, see #72 and #75.

It might have something to do with the logging in the main window, I'm not sure. As a quick test, you can change the code of noScribe.py on line 787ff. like so (only the "return" is added):

    def log(self, txt: str = '', tags: list = [], where: str = 'both', link: str = '') -> None:
        """ Log to main window (where can be 'screen', 'file', or 'both') """
        return # <== add this here
        if where != 'file' and hasattr(self, 'log_textbox'):
        ...

This will disable all messages in the main window, so you will see no output until the transcript is finished. Of course, this is not a permanent fix. But it can tell us if the culprit is somewhere within this function.

[Lunix13]

It might have something to do with the logging in the main window, I'm not sure. As a quick test, you can change the code of noScribe.py on line 787ff. like so (only the "return" is added)

This did the trick for me, I don't have any Segmentation fault anymore! Thanks for your patience too!
As you mentioned I don't have any messages in the main window, nor input in the log File tough.

[kaixxx]

Thanks for the confirmation. I had hoped the bug would have been fixed with some recent changes I made, but it's obviously not. I will try to find a better solution that will give you at least some output in the main window. It would be great if you could test it since I cannot reproduce the error locally atm.

[Lunix13]

It would be great if you could test it

Yes of course, I'll be pleased to help!

[jutu25]

Hi, I try to install it, but I am currently stuck at this error message. Can anyone help? I am not too experienced with this.

Collecting av<13,>=11.0 (from faster-whisper->-r environments/requirements_linux.txt (line 6))
Using cached av-12.3.0.tar.gz (3.8 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... error
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [29 lines of output]
Package libavformat was not found in the pkg-config search path.
Perhaps you should add the directory containing libavformat.pc' to the PKG_CONFIG_PATH environment variable No package 'libavformat' found Package libavcodec was not found in the pkg-config search path. Perhaps you should add the directory containing libavcodec.pc'
to the PKG_CONFIG_PATH environment variable
No package 'libavcodec' found
Package libavdevice was not found in the pkg-config search path.
Perhaps you should add the directory containing libavdevice.pc' to the PKG_CONFIG_PATH environment variable No package 'libavdevice' found Package libavutil was not found in the pkg-config search path. Perhaps you should add the directory containing libavutil.pc'
to the PKG_CONFIG_PATH environment variable
No package 'libavutil' found
Package libavfilter was not found in the pkg-config search path.
Perhaps you should add the directory containing libavfilter.pc' to the PKG_CONFIG_PATH environment variable No package 'libavfilter' found Package libswscale was not found in the pkg-config search path. Perhaps you should add the directory containing libswscale.pc'
to the PKG_CONFIG_PATH environment variable
No package 'libswscale' found
Package libswresample was not found in the pkg-config search path.
Perhaps you should add the directory containing `libswresample.pc'
to the PKG_CONFIG_PATH environment variable
No package 'libswresample' found
pkg-config could not find libraries ['avformat', 'avcodec', 'avdevice', 'avutil', 'avfilter', 'swscale', 'swresample']
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

[kaixxx]

I guess this line in your error message points to the root of the issue:

Package libavformat was not found in the pkg-config search path.

You can try the suggestions given here (or google the line from the error message for more ideas):
PyAV-Org/PyAV#995

[jutu25]

Thank you. I will try.