import h5py as h5
import json
import pandas as pd
import torch
from sentence_transformers import SentenceTransformer

#torch.set_num_threads(32)

D = pd.read_parquet("ccnews/pair")
# title, article
modelname = 'sentence-transformers/all-MiniLM-L6-v2'
model = SentenceTransformer(modelname)

print(D.columns)

#print("embeddings title")
#embeddings = model.encode(D.title)
#
#with h5.File("ccnews.h5", "w") as f:
#    f["title"] = embeddings
#    f.attrs["model"] = modelname

print("embeddings article")
embeddings = model.encode(D.article)

with h5.File("ccnews.h5", "a") as f:
    f["article"] = embeddings