Unindo várias solicitações

import os
from io import BytesIO
from elevenlabs.client import ElevenLabs
from elevenlabs.play import play
from dotenv import load_dotenv
load_dotenv()
ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
elevenlabs = ElevenLabs(
    api_key=ELEVENLABS_API_KEY,
)
paragraphs = [
    "The advent of technology has transformed countless sectors, with education ",
    "standing out as one of the most significantly impacted fields.",
    "In recent years, educational technology, or EdTech, has revolutionized the way ",
    "teachers deliver instruction and students absorb information.",
    "From interactive whiteboards to individual tablets loaded with educational software, ",
    "technology has opened up new avenues for learning that were previously unimaginable.",
    "One of the primary benefits of technology in education is the accessibility it provides.",
]
request_ids = []
audio_buffers = []
for paragraph in paragraphs:
    # Usually we get back a stream from the convert function, but with_raw_response is
    # used to get the headers from the response
    with elevenlabs.text_to_speech.with_raw_response.convert(
        text=paragraph,
        voice_id="T7QGPtToiqH4S8VlIkMJ",
        model_id="eleven_v4",
        # The API accepts at most 3 previous request IDs
        previous_request_ids=request_ids[-3:]
    ) as response:
        request_ids.append(response._response.headers.get("request-id"))
        # response._response.headers also contains useful information like 'character-cost',
        # which shows the cost of the generation in characters.
        audio_data = b''.join(chunk for chunk in response.data)
        audio_buffers.append(BytesIO(audio_data))
combined_stream = BytesIO(b''.join(buffer.getvalue() for buffer in audio_buffers))
play(combined_stream)

python example.py