edit : hugging face login 로컬에 로그인되어있으면 무시

This commit is contained in:
2025-12-04 15:24:49 +09:00
parent ff54e1cc2d
commit fce9eedfae
2 changed files with 26 additions and 8 deletions

View File

@@ -31,6 +31,8 @@ import os, sys
from transformers import CLIPProcessor, CLIPModel
from huggingface_hub import login as huggingface_login
from huggingface_hub import whoami, logout
from huggingface_hub.utils import LocalTokenNotFoundError
"""
Package: custom
@@ -104,7 +106,18 @@ class FEOpenAIClipViT(FEM.FeatureExtractionModel):
# huggingface token
if self.huggingface_token:
huggingface_login(fem_arguments.token)
"""
토큰이 있다면 로그인이 되어있는지 확인
안되어있다면 로그인 시도
"""
try:
user_info = whoami()
except Exception as LocalTokenNotFoundError:
huggingface_login(fem_arguments.token)
except Exception as e:
log.error(f'Huggingface login error: {e}')
raise e
# model path check
if not os.path.exists(fem_arguments.trained_model):

View File

@@ -1,10 +1,18 @@
# from custom_apps.FEATURE_VECTOR_SIMILARITY_FAISS.faiss_functions import get_clip_info
import os
import logging
import matplotlib.pyplot as plt
from custom_apps.FEATURE_VECTOR_SIMILARITY_FAISS.faiss_similarity_search import VectorSimilarity
from custom_apps.FEATURE_VECTOR_SIMILARITY_FAISS.const import *
from custom_apps.FEATURE_VECTOR_SIMILARITY_FAISS.faiss_functions import get_models, find_glass_folder_images, find_parts_folder_images
from vector_rest.app import models as VM
#log level
os.environ["HF_HUB_VERBOSITY"] = "info"
matplotlib_logger = logging.getLogger("matplotlib")
matplotlib_logger.setLevel(logging.INFO)
def make_image_files(item_info, index_type:VM.VitIndexType, model_type:VM.VitModelType):
model = get_models(index_type=index_type, model_type=model_type)
@@ -53,7 +61,7 @@ def make_vector_files(item_info, index_type:VM.VitIndexType, model_type:VM.VitMo
txt_file_path = make_image_files(item_info=item_info, index_type=index_type, model_type=model_type)
index_file_path = os.path.join(IMG_LIST_PATH,f'{model.name}_{os.path.basename(model.value[1].trained_model)}_{model.value[1].index_type}_{item_info}_{DEFAULT_INDEX_NAME_SUFFIX}')
index_file_path = os.path.join(FAISS_VECTOR_PATH,f'{model.name}_{os.path.basename(model.value[1].trained_model)}_{model.value[1].index_type}_{item_info}_{DEFAULT_INDEX_NAME_SUFFIX}')
if not os.path.exists(index_file_path):
@@ -66,12 +74,11 @@ def make_vector_files(item_info, index_type:VM.VitIndexType, model_type:VM.VitMo
vector_model.save_index_from_files(images_path_lists=image_lists,
save_index_dir=FAISS_VECTOR_PATH,
save_txt_dir=IMG_LIST_PATH,
item_info=item_info,
index_type=model.value[1].index_type)
else:
temp_path = os.path.join(IMG_LIST_PATH,f'{model.name}_{os.path.basename(model.value[1].trained_model)}_{model.value[1].index_type}_{item_info}_{DEFAULT_INDEX_NAME_SUFFIX}.bak')
temp_path = os.path.join(FAISS_VECTOR_PATH,f'{model.name}_{os.path.basename(model.value[1].trained_model)}_{model.value[1].index_type}_{item_info}_{DEFAULT_INDEX_NAME_SUFFIX}.bak')
try:
os.rename(index_file_path, temp_path)
@@ -85,7 +92,6 @@ def make_vector_files(item_info, index_type:VM.VitIndexType, model_type:VM.VitMo
vector_model.save_index_from_files(images_path_lists=image_lists,
save_index_dir=FAISS_VECTOR_PATH,
save_txt_dir=IMG_LIST_PATH,
item_info=item_info,
index_type=model.value[1].index_type)
except Exception as e:
@@ -102,7 +108,6 @@ def make_vector_files(item_info, index_type:VM.VitIndexType, model_type:VM.VitMo
if __name__ == '__main__':
import time
class_attributes = dict(VectorSearchItem.__dict__)
pure_data_dict = {
@@ -114,4 +119,4 @@ if __name__ == '__main__':
for item_key, item_value in pure_data_dict.items():
make_vector_files(item_info=item_value, index_type=VM.VitIndexType.l2, model_type=VM.VitModelType.b32)
time.sleep(5) # huggingface api 요청 제한 회피 위해 대기 TODO(jwkim) huggingface 로그인은 한번만 진행하게 변경
# time.sleep(5) # huggingface api 요청 제한 회피 위해 대기 TODO(jwkim) huggingface 로그인은 한번만 진행하게 변경