mirror of
https://github.com/Laurent2916/nio-llm.git
synced 2024-09-19 19:45:28 +00:00
92 lines
2.4 KiB
Python
92 lines
2.4 KiB
Python
"""The main program for nio-llm."""
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import asyncio
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import logging
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from pathlib import Path
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from huggingface_hub import hf_hub_download
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from jsonargparse import CLI
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from rich.logging import RichHandler
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from nio_llm.client import LLMClient
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logger = logging.getLogger("nio-llm.main")
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def main(
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room: str,
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password: str,
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username: str,
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preprompt: str,
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device_id: str = "nio-llm",
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homeserver: str = "https://matrix.org",
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ggml_repoid: str = "TheBloke/stable-vicuna-13B-GGML",
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ggml_filename: str = "stable-vicuna-13B.ggmlv3.q5_1.bin",
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sync_timeout: int = 30000,
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) -> None:
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"""Download llama model from HuggingFace and start the client.
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Args:
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room (`str`):
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The room to join.
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password (`str`):
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The password to log in with.
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username (`str`):
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The username to log in as.
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device_id (`str`):
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The device ID to use.
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preprompt (`str`):
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The preprompt to use.
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ggml_repoid (`str`, default `"TheBloke/stable-vicuna-13B-GGML"`):
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The HuggingFace Hub repo ID to download the model from.
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ggml_filename (`str`, default `"stable-vicuna-13B.ggmlv3.q5_1.bin"`):
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The HuggingFace Hub filename to download the model from.
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homeserver (`str`, default `"matrix.org"`):
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The homeserver to connect to.
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sync_timeout (`int`, default `30000`):
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The timeout to use when syncing with the homeserver.
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"""
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# download the model
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ggml_path = Path(
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hf_hub_download(
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repo_id=ggml_repoid,
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filename=ggml_filename,
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),
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)
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# create the client
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client = LLMClient(
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room=room,
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username=username,
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device_id=device_id,
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ggml_path=ggml_path,
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preprompt=preprompt,
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homeserver=homeserver,
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)
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# start the client
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asyncio.get_event_loop().run_until_complete(
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client.start(
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password=password,
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sync_timeout=sync_timeout,
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),
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)
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if __name__ == "__main__":
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# set up logging
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logging.captureWarnings(True)
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logging.basicConfig(
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level="DEBUG",
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format="%(name)s: %(message)s",
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handlers=[RichHandler(markup=True)],
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)
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# run the main program (with environment variables)
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CLI(
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components=main,
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as_positional=False,
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env_prefix="NIO_LLM",
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default_env=True,
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)
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