app.py

import streamlit as st
import pickle

st.title('Uzbek Text Classification')

text = st.text_area('Enter Uzbek Text')

if text:
    with open('trained_model100.pkl', 'rb') as file:
        model = pickle.load(file)

    with open('vectorizer.pkl', 'rb') as file:
        vectorizer = pickle.load(file)

    text_vectorized = vectorizer.transform([text])

    predicted_genre = model.predict(text_vectorized)

    st.subheader(str(predicted_genre).replace("'", '').replace('[', ''). replace(']', ''))