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Creating a podcast transcript

The OpenAI API Audio endpoint provides access to the different models, which can be used for speech-to-text transcription and translation. In this exercise, you'll create a transcript from a DataFramed podcast episode with OpenAI Developer, Logan Kilpatrick.

If you'd like to hear more from Logan, check out the full ChatGPT and the OpenAI Developer Ecosystem podcast episode.

Cet exercice fait partie du cours

<cours>Multi-Modal Systems with the OpenAI API</cours>
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Instructions de l’exercice

  • Open the openai-audio.mp3 file.
  • Create a transcription request to the Audio endpoint with audio_file.
  • Extract and print the transcript text from the response.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

client = OpenAI(api_key="")

# Open the openai-audio.mp3 file
audio_file = ____(____, "rb")

# Create a transcript from the audio file
response = client.audio.transcriptions.____(model="whisper-1", file=____)

# Extract and print the transcript text
print(response.____)
Modifier et exécuter le code