Download preload.py from Leon4gr45/twenty: direct link, hf CLI and curl.
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- Download file 2.33 kB
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https://huggingface.co/spaces/Leon4gr45/twenty/resolve/main/preload.py
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hf download hf://spaces/Leon4gr45/twenty/preload.py
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curl -L -o preload.py https://huggingface.co/spaces/Leon4gr45/twenty/resolve/main/preload.py
2.33 kB
| import asyncio | |
| from helpers import runtime | |
| from helpers.print_style import PrintStyle | |
| import models | |
| from plugins._kokoro_tts.helpers import runtime as kokoro_tts_runtime | |
| from plugins._whisper_stt.helpers import runtime as whisper_stt_runtime | |
| async def preload(): | |
| try: | |
| # preload whisper model | |
| async def preload_whisper(): | |
| if not whisper_stt_runtime.is_globally_enabled(): | |
| return None | |
| try: | |
| config = whisper_stt_runtime.get_config() | |
| return await whisper_stt_runtime.preload(str(config["model_size"])) | |
| except Exception as e: | |
| PrintStyle().error(f"Error in preload_whisper: {e}") | |
| # preload embedding model | |
| async def preload_embedding(): | |
| try: | |
| from plugins._model_config.helpers.model_config import get_embedding_model_config_object | |
| emb_cfg = get_embedding_model_config_object() | |
| if emb_cfg.provider.lower() == "huggingface": | |
| emb_mod = models.get_embedding_model( | |
| emb_cfg.provider, | |
| emb_cfg.name, | |
| model_config=emb_cfg, | |
| **emb_cfg.build_kwargs(), | |
| ) | |
| emb_txt = await emb_mod.aembed_query("test") | |
| return emb_txt | |
| except Exception as e: | |
| PrintStyle().error(f"Error in preload_embedding: {e}") | |
| # preload kokoro tts model if enabled | |
| async def preload_kokoro(): | |
| if not kokoro_tts_runtime.is_globally_enabled(): | |
| return None | |
| try: | |
| return await kokoro_tts_runtime.preload() | |
| except Exception as e: | |
| PrintStyle().error(f"Error in preload_kokoro: {e}") | |
| # async tasks to preload | |
| tasks = [ | |
| preload_embedding(), | |
| # preload_whisper(), | |
| # preload_kokoro() | |
| ] | |
| await asyncio.gather(*tasks, return_exceptions=True) | |
| PrintStyle().print("Preload completed.") | |
| except Exception as e: | |
| PrintStyle().error(f"Error in preload: {e}") | |
| # preload transcription model | |
| if __name__ == "__main__": | |
| PrintStyle().print("Running preload...") | |
| runtime.initialize() | |
| asyncio.run(preload()) | |