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Preparing the spoken response

You've made it to the final step of the case study! Your task now is to convert the tailored, translated response into speech. Since the customer submitted their query via audio, they'll receive an audio reply in return—how cool is that?

The translated reply from the previous exercise is available as translated_reply.

This exercise is part of the course

Multi-Modal Systems with the OpenAI API

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Exercise instructions

  • Use the gpt-4o-mini-tts model with the "onyx" voice to create a speech request for translated_reply.
  • Stream the response to an .mp3 file.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

client = OpenAI(api_key="")

# Create the text-to-speech request
response = ____

# Stream the response to an MP3 file
response.____("output.mp3")
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