T5-Summarization / src /models /predict_model.py
Gagan Bhatia
Update predict_model.py
d6b264b
raw
history blame
554 Bytes
import yaml
from .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)