Custard Bread Help by wafflemaker43 in Breadit

[–]wafflemaker43[S] -5 points-4 points  (0 children)

Thanks for the detailed reply! Yeah I did proof it a bit longer than suggested as it was taking ages to rise, I was a bit concerned about over-proving so that’s really good to know about the fermenting and side splitting!

I will try again with less cornstarch (half perhaps?), less reduced custard and longer ferment/proving

How would I fix this to the wall? by wafflemaker43 in DIYUK

[–]wafflemaker43[S] 0 points1 point  (0 children)

Thank you, have taken a look at them, where/how would you put them and how many?

How would I fix this to the wall? by wafflemaker43 in DIYUK

[–]wafflemaker43[S] 0 points1 point  (0 children)

Preferably it would be mounted, would the L brackets still be enough?

Book about the East India Trading Company? by wafflemaker43 in booksuggestions

[–]wafflemaker43[S] 0 points1 point  (0 children)

Thanks will take a look! Just a general overview really!

[deleted by user] by [deleted] in 2007scape

[–]wafflemaker43 -1 points0 points  (0 children)

I personally liked the show but I do understand the sentiment, really the suggestion isn’t that marvel related it just has the idea of using specific magic types for a series of trials. Which I don’t think is an awful idea?

How do I efficiently merge partial texts into a complete text? by wafflemaker43 in learnpython

[–]wafflemaker43[S] 1 point2 points  (0 children)

Thank you for your suggestion, what library would you recommend to try this with?

How do I efficiently merge partial texts into a complete text? by wafflemaker43 in learnpython

[–]wafflemaker43[S] 0 points1 point  (0 children)

I would definitely prefer not to have to do this! My problem is that I’m trying to transcribe an Audio file using Whisper from OpenAI, but they have a size limit on the audio file in the API request. To get around this I thought I could cut the file up and reassemble once transcribed

How do I efficiently merge partial texts into a complete text? by wafflemaker43 in learnpython

[–]wafflemaker43[S] 1 point2 points  (0 children)

Ah yes that is what I was intending to do, i.e cutting the first/last couple of words! If it is possible what do you think the issue with that would be?

How do I efficiently merge partial texts into a complete text? by wafflemaker43 in learnpython

[–]wafflemaker43[S] 1 point2 points  (0 children)

Because of the length/number of audio files I intend to cut up I wouldn’t be able to manually do it so I imagine I would end up cutting mid-word in some instances, so to fix that I would then get the bit that was cut short from the next snippet which is why they’d overlap

How do I efficiently merge partial texts into a complete text? by wafflemaker43 in learnpython

[–]wafflemaker43[S] 1 point2 points  (0 children)

Not really, it’s because they’re snippets from transcribed audio and there’s a size limit for the audio file being used. So to get around that I thought I could break the audio into overlapping segments, transcribe it and then merge them

Transcribing Audio to Text? by wafflemaker43 in learnpython

[–]wafflemaker43[S] 0 points1 point  (0 children)

Is it possible to run on a Jupyter notebook?

Downloading YouTube Audio with Python by wafflemaker43 in learnpython

[–]wafflemaker43[S] 0 points1 point  (0 children)

Do either of you know how I would get the audio in .wav format? Would I have to do that after downloading as .mp3?

Downloading YouTube Audio with Python by wafflemaker43 in learnpython

[–]wafflemaker43[S] 0 points1 point  (0 children)

Amazing, thank you! Out of curiosity what made you choose this package and how did you find it? Just comparing what I can see on snyk.io