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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.

Questo esercizio fa parte del corso

Multi-Modal Systems with the OpenAI API

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Istruzioni dell'esercizio

  • 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.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

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.____)
Modifica ed esegui il codice