mirror of
https://github.com/remsky/Kokoro-FastAPI.git
synced 2025-04-13 09:39:17 +00:00
9a588a3483
- Introduced v1.0 model build system integration. - Updated imports to reflect new directory structure for versioned models. - Modified environment variables - Added version selection in the frontend for voice management. - Enhanced Docker build scripts for multi-platform support. - Updated configuration settings for default voice and model paths.
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
#!/usr/bin/env rye run python
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import time
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from pathlib import Path
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from openai import OpenAI
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# By default, the library tries to take OPENAI_API_KEY
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# from your environment variables,
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# so set explicitly to any string to allow it to skip the check
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openai = OpenAI(base_url="http://localhost:8880/v1", api_key="not-needed-for-local")
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speech_file_path = Path(__file__).parent / "speech.mp3"
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def main() -> None:
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stream_to_speakers()
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# Create text-to-speech audio file
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with openai.audio.speech.with_streaming_response.create(
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model="kokoro",
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voice="af_sky+af_bella",
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input="the quick brown fox jumped over the lazy dogs",
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response_format="mp3",
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) as response:
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response.stream_to_file(speech_file_path)
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def stream_to_speakers() -> None:
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import pyaudio
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player_stream = pyaudio.PyAudio().open(format=pyaudio.paInt16, channels=1, rate=24000, output=True)
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start_time = time.time()
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with openai.audio.speech.with_streaming_response.create(
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model="kokoro",
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voice="af_bella+af_irulan",
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response_format="pcm", # similar to WAV, but without a header chunk at the start.
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input="""I see skies of blue and clouds of white
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The bright blessed days, the dark sacred nights
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And I think to myself
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What a wonderful world""",
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) as response:
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print(f"Time to first byte: {int((time.time() - start_time) * 1000)}ms")
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for chunk in response.iter_bytes(chunk_size=1024):
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player_stream.write(chunk)
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print(f"Done in {int((time.time() - start_time) * 1000)}ms.")
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if __name__ == "__main__":
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main()
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