Thanks man, you deserve the best

Great video. Thank you. Can the output be displayed on screen whilst it is processing?

ما شاء الله تبارك أخ محمد .... شكراً لك

Is there a colab version?

try to include its requirements.txt also... Thanks

Im really struggling to get this working, would i be able you to send you my output log ?

nice video. Is the repo hard-coded to your directory structure? when I tried to change it, it said the format wasn't recognized

@masteringpython

10 ай бұрын

do you mean segment file ?

can i use this program to split speakers to their own files? or is this only for transcription

@masteringpython

10 ай бұрын

read more about pyannote to see how to split speakers

@ThePikkutyyppi

10 ай бұрын

@@masteringpython What? Where?

conda activate open_chatting does not work on my computer. "EnvironmentNameNotFound: Could not find conda environment: open_chatting You can list all discoverable environments with `conda info --envs`."

@masteringpython

8 ай бұрын

install conda toolkit then create an environment called open_chatting by typing : conda create --name open_chatting after that install the libraries that i mentioned in the video then run the code

Hi, Thanks for the Video. Need approach on how we can implement the solution with the large Audio with duration of 3 hours.

@KamilKaczmarekSolutions

6 ай бұрын

chunks

@KamilKaczmarekSolutions

6 ай бұрын

chunks and saving .txt from these chunks in files, add logic to see what chunks it already has (if you face error or sth, and you want to come back and don't have to start over, just continue where it left off)

no code in video

does this model work on languages other than English?

@masteringpython

10 ай бұрын

onely english

@PaweDuzy

4 ай бұрын

@@masteringpython Only english? What is I change model = whisper.load_model("small.en") to "small"? Acording to Whisper github documentation.

You have chance.

trying to run this but getting File contains data in an unknown format. tried several files and tried a wav file too, but no luck

@masteringpython

Жыл бұрын

I advise you to use python anaconda to create development environment .Then install whisper openai ,after installing this library run a simple test to check if everything works correctly .Then install pyannote library and also run a simple test ( read carefully the installation guides maybe you missed something while installing the library)

@nadeembaig5943

22 күн бұрын

@Hirotodoroki were you able to resolve the error (File Contains data in Unknown Format)?

Thanks for the demo. I am getting the following error, even while using your audio.mp3 file: end = int(millisec(j[3])) return (int)((int(spl[0]) * 60 * 60 + int(spl[1]) * 60 + float(spl[2])) * 1000) ValueError: invalid literal for int() with base 10: ''

@user-zz3iv1qz6v

Жыл бұрын

@mamido mami Yes, I did that, still getting the same error

@auflute

Жыл бұрын

same problem

@user-uy7fc3sf8x

Жыл бұрын

same problem

@jbatista2008

10 ай бұрын

From the error message and the code, it seems that the error is happening because the millisec function is trying to convert an empty string to an integer. The millisec function splits a time string, given in the format "hh:mm:ss.sss", into hours, minutes, and seconds, and then converts these components to milliseconds. Here is an example of the string being parsed: ['[', '00:00:00.998', '-->', '', '00:00:20.622]', 'G', 'SPEAKER_01'] When this loop runs, it returns an empty 'end' string: for l in range(len(k)): j = k[l].split(" ") start = int(millisec(j[1])) end = int(millisec(j[3])) The array position you want for 'end' is 4, not 3. Plus, it has a ']' symbol, so it must be cleaned up: for l in range(len(k)): j = k[l].split(" ") start = int(millisec(j[1].rstrip(']'))) # remove trailing ']' end = int(millisec(j[4].rstrip(']'))) # remove trailing ']'

Wow, the transcript takes like two times the duration of the file to process. I guess that this solution wouldn’t work to monitor hours of call recordings unless you use gpu servers.

@masteringpython

9 ай бұрын

it is recomended to use cuda ( nvidia gpu ) for speed cpu is very slow

Does this need GPU?

@masteringpython

11 ай бұрын

in this video i did not used GPU, but if you want to use it read the pyannote documentation

do this work offline ?

@masteringpython

8 ай бұрын

yes