Stitching multiple requests

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import os
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from io import BytesIO
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from elevenlabs.client import ElevenLabs
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from elevenlabs.play import play
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from dotenv import load_dotenv
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load_dotenv()
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ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
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elevenlabs = ElevenLabs(
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    api_key=ELEVENLABS_API_KEY,
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)
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paragraphs = [
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    "The advent of technology has transformed countless sectors, with education ",
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    "standing out as one of the most significantly impacted fields.",
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    "In recent years, educational technology, or EdTech, has revolutionized the way ",
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    "teachers deliver instruction and students absorb information.",
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    "From interactive whiteboards to individual tablets loaded with educational software, ",
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    "technology has opened up new avenues for learning that were previously unimaginable.",
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    "One of the primary benefits of technology in education is the accessibility it provides.",
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]
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request_ids = []
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audio_buffers = []
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for paragraph in paragraphs:
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    # Usually we get back a stream from the convert function, but with_raw_response is
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    # used to get the headers from the response
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    with elevenlabs.text_to_speech.with_raw_response.convert(
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        text=paragraph,
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        voice_id="T7QGPtToiqH4S8VlIkMJ",
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        model_id="eleven_multilingual_v2",
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        previous_request_ids=request_ids
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    ) as response:
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        request_ids.append(response._response.headers.get("request-id"))
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        # response._response.headers also contains useful information like 'character-cost',
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        # which shows the cost of the generation in characters.
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        audio_data = b''.join(chunk for chunk in response.data)
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        audio_buffers.append(BytesIO(audio_data))
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combined_stream = BytesIO(b''.join(buffer.getvalue() for buffer in audio_buffers))
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play(combined_stream)

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python example.py