mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-26 04:33:35 +03:00
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from __future__ import annotations
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import os
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import requests
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import json
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from ..requests.raise_for_status import raise_for_status
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def load_models():
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response = requests.get("https://gpt4all.io/models/models3.json")
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raise_for_status(response)
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return format_models(response.json())
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def get_model_name(filename: str) -> str:
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name = filename.split(".", 1)[0]
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for replace in ["-v1_5", "-v1", "-q4_0", "_v01", "-v0", "-f16", "-gguf2", "-newbpe"]:
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name = name.replace(replace, "")
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return name
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def format_models(models: list) -> dict:
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return {get_model_name(model["filename"]): {
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"path": model["filename"],
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"ram": model["ramrequired"],
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"prompt": model["promptTemplate"] if "promptTemplate" in model else None,
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"system": model["systemPrompt"] if "systemPrompt" in model else None,
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} for model in models}
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def read_models(file_path: str):
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with open(file_path, "rb") as f:
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return json.load(f)
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def save_models(file_path: str, data):
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with open(file_path, 'w') as f:
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json.dump(data, f, indent=4)
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def get_model_dir() -> 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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model_dir = os.path.join(project_dir, "models")
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if os.path.exists(model_dir):
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return model_dir
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def get_models() -> dict[str, dict]:
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model_dir = get_model_dir()
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file_path = os.path.join(model_dir, "models.json")
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if os.path.isfile(file_path):
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return read_models(file_path)
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else:
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models = load_models()
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save_models(file_path, models)
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return models |