We couldn't connect to 'https://huggingface.co' to load this file

[AriesJin]

from towhee import ops, pipe, DataCollection

create image embeddings and build index

p = ( pipe.input('file_name') .map('file_name', 'img', ops.image_decode.cv2()) .map('img', 'vec', ops.image_text_embedding.clip(model_name='clip_vit_base_patch32', modality='image')) .map('vec', 'vec', ops.towhee.np_normalize()) .map(('vec', 'file_name'), (), ops.ann_insert.faiss_index('./faiss', 512)) .output() )

for f_name in ['https://raw.githubusercontent.com/towhee-io/towhee/main/assets/dog1.png', 'https://raw.githubusercontent.com/towhee-io/towhee/main/assets/dog2.png', 'https://raw.githubusercontent.com/towhee-io/towhee/main/assets/dog3.png']: p(f_name)

Flush faiss data into disk.

p.flush()

search image by text

decode = ops.image_decode.cv2('rgb') p = ( pipe.input('text') .map('text', 'vec', ops.image_text_embedding.clip(model_name='clip_vit_base_patch32', modality='text')) .map('vec', 'vec', ops.towhee.np_normalize())

faiss op result format: [[id, score, [file_name], ...]

.map('vec', 'row', ops.ann_search.faiss_index('./faiss', 3))
.map('row', 'images', lambda x: [decode(item[2][0]) for item in x])
.output('text', 'images')

)

DataCollection(p('puppy Corgi')).show()

OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like openai/clip-vit-base-patch32 is not the path to a directory containing a file named config.json. Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

but I had set os.environ["HUGGINGFACE_HUB_ENDPOINT"] = "https://hf-mirror.com/"

can you help me?

[junjiejiangjjj]

hi @AriesJin ， try this export HF_ENDPOINT=https://hf-mirror.com