mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-05 00:01:00 +00:00
77 lines
2.8 KiB
Python
77 lines
2.8 KiB
Python
from __future__ import annotations
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import os
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from gpt4all import GPT4All
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from .models import get_models
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from ..typing import Messages
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MODEL_LIST: dict[str, dict] = None
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def find_model_dir(model_file: str) -> str:
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local_dir = os.path.dirname(os.path.abspath(__file__))
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project_dir = os.path.dirname(os.path.dirname(local_dir))
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new_model_dir = os.path.join(project_dir, "models")
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new_model_file = os.path.join(new_model_dir, model_file)
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if os.path.isfile(new_model_file):
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return new_model_dir
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old_model_dir = os.path.join(local_dir, "models")
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old_model_file = os.path.join(old_model_dir, model_file)
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if os.path.isfile(old_model_file):
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return old_model_dir
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working_dir = "./"
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for root, dirs, files in os.walk(working_dir):
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if model_file in files:
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return root
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return new_model_dir
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class LocalProvider:
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@staticmethod
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def create_completion(model: str, messages: Messages, stream: bool = False, **kwargs):
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global MODEL_LIST
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if MODEL_LIST is None:
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MODEL_LIST = get_models()
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if model not in MODEL_LIST:
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raise ValueError(f'Model "{model}" not found / not yet implemented')
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model = MODEL_LIST[model]
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model_file = model["path"]
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model_dir = find_model_dir(model_file)
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if not os.path.isfile(os.path.join(model_dir, model_file)):
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print(f'Model file "models/{model_file}" not found.')
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download = input(f"Do you want to download {model_file}? [y/n]: ")
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if download in ["y", "Y"]:
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GPT4All.download_model(model_file, model_dir)
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else:
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raise ValueError(f'Model "{model_file}" not found.')
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model = GPT4All(model_name=model_file,
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#n_threads=8,
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verbose=False,
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allow_download=False,
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model_path=model_dir)
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system_message = "\n".join(message["content"] for message in messages if message["role"] == "system")
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if system_message:
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system_message = "A chat between a curious user and an artificial intelligence assistant."
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prompt_template = "USER: {0}\nASSISTANT: "
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conversation = "\n" . join(
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f"{message['role'].upper()}: {message['content']}"
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for message in messages
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if message["role"] != "system"
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) + "\nASSISTANT: "
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def should_not_stop(token_id: int, token: str):
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return "USER" not in token
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with model.chat_session(system_message, prompt_template):
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if stream:
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for token in model.generate(conversation, streaming=True, callback=should_not_stop):
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yield token
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else:
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yield model.generate(conversation, callback=should_not_stop) |