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opened 2026-02-22 18:26:07 -05:00 by yindo
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2995-feat-disable-temperature-setting-for-deepseek-r1-deepseek-reasoner-model
2827-feat-perplexity-citations
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Reference: Mintplex-Labs/anything-llm#1698
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Originally created by @fiyen on GitHub (Nov 11, 2024).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/2617
How are you running AnythingLLM?
Local development
What happened?
Once a Transcription API is set to OpenAiWhisper, transcription result is failure whenever I upload a .mp3 file. I find that the code in line 36 of
OpenAiWhisper.jsin collector directory is return a result like: content: response. I have referred to the docs in openai.com, the example shows that the text content should extract by usingresponse.text. So I change the code tocontent: response.text, and my question is solved.Are there known steps to reproduce?
Just change the transcription API to open whisper and upload a .mp3 file in your workshop.
@timothycarambat commented on GitHub (Nov 11, 2024):
I can confirm that PR #2618 actually introduces the bug that the associated PR is alleviating. We specifically return
textand not JSON - so the response body is the texthttps://github.com/Mintplex-Labs/anything-llm/blob/e41a9beaaeb30d1b0f4feacdb5ccd7647b71eb7c/collector/utils/WhisperProviders/OpenAiWhisper.js#L25
The only ways this behavior could be occurring is that you are on a modified version of AnythingLLM or are using a proxy or
hostoverride that instead maps to an OpenAI compatible service that is actually not fully 1:1 and always returns typejson@timothycarambat commented on GitHub (Nov 11, 2024):
@fiyen We just merged in a slight modification of this PR which should support your use case as well as not break compatibility with the current implementation of OpenAI in AnythingLLM #2621
[BUG]: OpenAiWhisper always leads a transcribing failureto [GH-ISSUE #2617] [BUG]: OpenAiWhisper always leads a transcribing failure