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характеристика samsung galaxy win i8552 duos цена в, API Whisper transcriptions errors (SOLVED) - API - OpenAI , Transcription via OpenAi's whisper: AssertionError: incorrect , FileNotFound error on Windows · openai whisper - GitHub, I am using Whisper to transcribe and I am getting the below , How to make Whisper STT real-time transcription [Part 1], How to send audio file to Whisper API - API - OpenAI , How i can fix these errors please · openai whisper - GitHub.
"set-cookie": "__cf_bm=0U9yxsAzNxER.utK5re7xYEvmv3TNfpb43LPHWIew0c-1707712083-1-AUpIGRf5Qn+ZLdtWukDSCnjPJKpB1vOiFl8Xx3WxMuhA0RMzzZTrzZ8hKftBB4ssVdFg2hwH4u9pAP4N3kC0aFw=; path=/; expires=Mon, 12-Feb-24 04:58:03 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None, _cfuvid=XFTY726zg.b3Sr4bWr8bYSo62GDtx278qVqg5kBHXi4-1707712083427-0-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None",, const file = await toFile(Buffer.from(data), 'audio.mp3'); This worked for both the node.js library and a pure fetch request. I’m not really sure why, but I believe it has to do with the “name” inference in the “toFile()” method:, In order to transcribe (even audio longer than 30 seconds) you can use whisper.transcribe as shown in the following snippet. "language": "en", # input language, if omitted is auto detected. "task": "translate" # or "transcribe" if you just want transcription..
In Initial testing, I wanted to translate/transcribe some audio files and copy pasted the code that was written in the documentation, unfortunately, it shows that it can't find the file. Even the though the audio files and the python script are in the same directory., I am using Whisper to transcribe an audio file. I have installed Python3.9, ffmpeg and the associated dependencies, and openai-whisper==20230308. I could import whisper, but when I try to run transcribe: audio = f'audio_dataset/testaudio.wav' model = whisper.load_model("base") result = model.transcribe(audio, fp16=False,language="en"), # load audio and pad/trim it to fit 30 seconds audio = whisper.load_audio("audio.mp3") audio = whisper.pad_or_trim(audio) # If you get an error such as: # FileNotFoundError: [WinError, When I add key contents it tells me that the file field is missing. Content-Type is not “JSON”. Example from API dox: -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: multipart/form-data" \ -F file="@/path/to/file/audio.mp3" \ -F model="whisper-1" Hello, Thanks for your answer/help, I changed the content-type and now I get the answer., It appears that test.mp3 is not in the same directory that you are running the whisper command. You can check if it is in the same directory by running dir test.mp3 (Windows) or ls test.mp3 (MacOS or Linux). You must install the package that it showed there ffmpeg., .