app.py

import streamlit as st
import pandas as pd
import numpy as np
import model

st.title('Movie genre classifier')
st.title('Enter plot')

@st.cache_resource()
def load_model():
    return model.load_model_and_tokenizer()

loaded_model, device, tokenizer, MAX_LEN = load_model()

text = st.text_area("Plot")
product = None
label='submit'
if st.button(label):

    if text != '':
        product = model.predict_genre(text, loaded_model, device, tokenizer, MAX_LEN)
        product = ', '.join(product)

    if product is not None:
        data_load_state = st.text('The genre is')
        st.write(product)