audio to text without loading whole wav file in memory with single result object

[tevslin]

I have large wav files altho smaller than the 2gig limit, Running in AWS I don't want to have to load the whole file into memory at once but do want it processed as one file so I get only one result object with consistent diarization. is there a way to accomplish this with the python sdk>

[team-deepgram]

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[dvonthenen]

Hi @tevslin

The best way would be to do this asynchronously.
https://github.com/deepgram/deepgram-python-sdk/blob/main/deepgram/clients/listen/v1/rest/client.py#L43

[tevslin]

David, thanks. But this with a URL. Is there a way I can do this with a file which is local to my ECS server? From: David vonThenen ***@***.***> Sent: Thursday, September 26, 2024 5:40 PM To: deepgram/community ***@***.***> Cc: Tom Evslin ***@***.***>; Mention ***@***.***> Subject: Re: [deepgram/community] audio to text without loading whole wav file in memory with single result object (Discussion #935) Hi @tevslin <https://github.com/tevslin> The best way would be to do this asynchronously. https://github.com/deepgram/deepgram-python-sdk/blob/main/deepgram/clients/listen/v1/rest/client.py#L43 — Reply to this email directly, view it on GitHub <#935 (comment)> , or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGLSBBQUPN45LZZAX3M2BMLZYR5LZAVCNFSM6AAAAABO532UGKVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTANZWHA2TIMI> . You are receiving this because you were mentioned. <https://github.com/notifications/beacon/AGLSBBSLQ6JHC5SFU26BXHDZYR5LZA5CNFSM6AAAAABO532UGKWGG33NNVSW45C7OR4XAZNRIRUXGY3VONZWS33OINXW23LFNZ2KUY3PNVWWK3TUL5UWJTQAURIJ2.gif> Message ID: ***@***.*** ***@***.***> >

[dvonthenen]

Hi @tevslin

The only way to do that would be to land a process to call either of the functions below to "upload" the file to Deepgram:
transcribe_file
OR
async using transcribe_file_callback

If you use the suggested method in the previous post, it requires that the file be accessible to the internet as public or configured with a key, but this will trigger Deepgram to move the audio (aka download file) from the Deepgram side. No external process needed.
transcribe_url
OR
async using transcribe_url_callback

that is why it takes a URL as one of the inputs.