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• Revert "lavc/nvenc : handle frame durations and AV_CODEC_CAP_ENCODER_REORDERED_OPAQUE"

  16 juin 2023, par Timo Rothenpieler

  Revert "lavc/nvenc : handle frame durations and AV_CODEC_CAP_ENCODER_REORDERED_OPAQUE"
  The implementation is flawed in that the frame opaque data is not in
  
  fact correctly reordered along with the packets, but is being output in
  
  packet input order, just like the dts are.
  This reverts commit 35538097038fd1e36577306d3165f38c8fa02466.
  

  • [DH] libavcodec/nvenc.c
  • [DH] libavcodec/nvenc.h
  • [DH] libavcodec/nvenc_av1.c
  • [DH] libavcodec/nvenc_h264.c
  • [DH] libavcodec/nvenc_hevc.c

• lavc/qsvenc : avoid data copy if possible

  18 mai 2023, par Haihao Xiang

  lavc/qsvenc : avoid data copy if possible
  The data copy is unnecessary for packed formats when frame width and
  
  height are aligned
  For example :
  
  $ ffmpeg -f lavfi -i testsrc=size=1920x1088 -vf "format=yuyv422" -c:v hevc_qsv -f null -
  Signed-off-by : Haihao Xiang <haihao.xiang@intel.com>
  

  • [DH] libavcodec/qsvenc.c

• Title : Getting "invalid_request_error" when trying to pass converted audio file to OpenAI API

  19 avril 2023, par Dummy Cron

  I am working on a project where I receive a URL from a webhook on my server whenever users share a voice note on my WhatsApp. I am using WATI as my WhatsApp API Provder

  


  The file URL received is in the .opus format, which I need to convert to WAV and pass to the OpenAI Whisper API translation task.

  


  I am trying convert it to .wav using ffmpeg, and pass it to the OpenAI API for translation processing.
However, I am getting an "invalid_request_error"

  


  import requests
import io
import subprocess
file_url = #.opus file url
api_key = #WATI API Keu

def transcribe_audio_to_text():
  # Fetch the audio file and convert to wav format

  headers = {'Authorization': f'Bearer {api_key}'}
  response = requests.get(file_url, headers=headers)
  audio_bytes = io.BytesIO(response.content)

  process = subprocess.Popen(['ffmpeg', '-i', '-', '-f', 'wav', '-acodec', 'libmp3lame', '-'], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
  wav_audio, _ = process.communicate(input=audio_bytes.read())

  # Set the Whisper API endpoint and headers
  WHISPER_API_ENDPOINT = 'https://api.openai.com/v1/audio/translations'
  whisper_api_headers = {'Authorization': 'Bearer ' + WHISPER_API_KEY,
                         'Content-Type': 'application/json'}
  print(whisper_api_headers)
  # Send the audio file for transcription

  payload = {'model': 'whisper-1'}
  files = {'file': ('audio.wav', io.BytesIO(wav_audio), 'audio/wav')}

  # files = {'file': ('audio.wav', io.BytesIO(wav_audio), 'application/octet-stream')}

  # files = {'file': ('audio.mp3', io.BytesIO(mp3_audio), 'audio/mp3')}
  response = requests.post(WHISPER_API_ENDPOINT, headers=whisper_api_headers, data=payload)
  print(response)
  # Get the transcription text
  if response.status_code == 200:
      result = response.json()
      text = result['text']
      print(response, text)
  else:
      print('Error:', response)
      err = response.json()
      print(response.status_code)
      print(err)
      print(response.headers)

transcribe_audio_to_text()


  


  Output :

  


  Error: <response>&#xA;400&#xA;{&#x27;error&#x27;: {&#x27;message&#x27;: "We could not parse the JSON body of your request. (HINT: This likely means you aren&#x27;t using your HTTP library correctly. The OpenAI API expects a JSON payload, but what was sent was not valid JSON. If you have trouble figuring out how to fix this, please send an email to support@openai.com and include any relevant code you&#x27;d like help with.)", &#x27;type&#x27;: &#x27;invalid_request_error&#x27;, &#x27;param&#x27;: None, &#x27;code&#x27;: None}}&#xA;</response>