A bit hard to find and run eland_import_hub_model on Windows

[sakurai-youhei]

Right after pip install eland, neither python -m eland nor eland_import-hub-model works on Windows.

C:\Users\YouheiSakurai>python -m eland
C:\Program Files\Python311\python.exe: No module named eland.__main__; 'eland' is a package and cannot be directly executed

C:\Users\YouheiSakurai>eland_import_hub_model
'eland_import_hub_model' is not recognized as an internal or external command,
operable program or batch file.

1. python -m eland doesn't work because no of eland.__main__.
2. eland_import-hub-model doesn't work because scripts is used instead of console_scripts in setup.py.

As the above picture shows, eland_import_hub_model is not executable on Windows due to no file extension like .exe.

I will open a PR to solve this hassle on Windows.

[xuanyuanbao]

I also has error。what i can do make it work?

[xuanyuanbao]

I also has error。what i can do make it work?

oh,thanks me, I have resolve this problem，it my code instead to eland_import_hub_model in shell，it works where your computer operation system is Windows。

secondly, my elasticsearch version is 8.6.0, but elasticsearch 8.7.0 also works

import elasticsearch
from pathlib import Path
from eland.ml.pytorch import PyTorchModel
from eland.ml.pytorch.transformers import TransformerModel

# Load a Hugging Face transformers model directly from the model hub
tm = TransformerModel("sentence-transformers/clip-ViT-B-32-multilingual-v1", "text_embedding")

# Export the model in a TorchScrpt representation which Elasticsearch uses
tmp_path = "models"
Path(tmp_path).mkdir(parents=True, exist_ok=True)
model_path, config, vocab_path = tm.save(tmp_path)

ca_certs_path = "../app/conf/ca.crt"
# Import model into Elasticsearch
es = elasticsearch.Elasticsearch("https://elastic:[email protected]:9200",
                                 ca_certs=ca_certs_path,
                                 verify_certs=True, timeout=300)  # 5 minute timeout

ptm = PyTorchModel(es, tm.elasticsearch_model_id())
ptm.import_model(model_path=model_path, config_path=None, vocab_path=vocab_path, config=config)