src/models/predict_model.py

import yaml

from src.models.model import Summarization
import pandas as pd


def predict_model(text):
    """
    Predict the summary of the given text.
    """
    with open("params.yml") as f:
        params = yaml.safe_load(f)

    model = Summarization()
    model.load_model(model_type=params["model_type"], model_dir=params["model_dir"])
    pre_summary = model.predict(text)
    return pre_summary


if __name__ == "__main__":
    text = pd.load_csv("data/processed/test.csv")["input_text"][0]
    pre_summary = predict_model(text)
    print(pre_summary)