app.py

import streamlit as st
import pandas as pd
import pickle

with open('./trained_model.pkl', 'rb') as file:
    loaded_model = pickle.load(file)

new_pred = st.text_area('Enter text')

if new_pred:
    new_pred_processed = generate_features(pd.DataFrame([new_pred]), prod=True)
    out = loaded_model(new_pred_processed)
    st.json(out[0][0])