transcription and speaker identification OpenAI-Whisper and Pyannote [Python] 

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

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)

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

do you mean segment file ?

chunks

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)

read more about pyannote to see how to split speakers

@@masteringpython What? Where?

onely english

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

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

same problem

same problem

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 ']'

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

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

yes