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chore: import upstream snapshot with attribution
2026-07-13 13:37:14 +08:00

59 lines
2.1 KiB
Python

# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import os
from typing import List, Tuple
from paddlenlp.utils.downloader import COMMUNITY_MODEL_PREFIX, get_path_from_url
from paddlenlp.utils.env import MODEL_HOME
from paddlenlp.utils.log import logger
COMMUNITY_MODEL_CONFIG_FILE_NAME = "community_models.json"
def load_community_models() -> List[Tuple[str, str]]:
"""load community models based on remote models.json
Returns:
List[Tuple[str, str]]: the name tuples of community models
"""
# 1. check & download community models.json
local_community_model_config_path = os.path.join(MODEL_HOME, "community_models.json")
if not os.path.exists(local_community_model_config_path):
logger.info("download community model configuration from server ...")
remote_community_model_path = "/".join([COMMUNITY_MODEL_PREFIX, COMMUNITY_MODEL_CONFIG_FILE_NAME])
cache_dir = os.path.join(MODEL_HOME)
local_community_model_config_path = get_path_from_url(remote_community_model_path, root_dir=cache_dir)
# 2. load configuration
#
# config = {
# "model_name": {
# "type": "",
# "files": ["", ""]
# }
# }
#
with open(local_community_model_config_path, "r", encoding="utf-8") as f:
config = json.load(f)
model_names = set()
for model_name, obj in config.items():
model_names.add((model_name, obj.get("model_type", "")))
logger.info(f"find {len(model_names)} community models ...")
return model_names