models/LogReg.py

import pandas as pd
import torch
import joblib

from models.preprocess_stage.bert_model import preprocess_bert
from models.preprocess_stage.bert_model import model

MAX_LEN = 100  # позже добавлю способ пользователю самому выбирать масимальную длину
DEVICE='cpu'

logreg = joblib.load('models/weights/LogRegBestWeights.sav')

def predict_1(text):

    preprocessed_text, attention_mask = preprocess_bert(text, MAX_LEN=MAX_LEN)
    preprocessed_text, attention_mask = torch.tensor(preprocessed_text).unsqueeze(0), torch.tensor([attention_mask])

    model.to(DEVICE)
    with torch.inference_mode():
        vector = model(preprocessed_text, attention_mask=attention_mask)[0][:, 0, :]

    predict = logreg.predict(vector)

    return predict[-1]