| 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(']', '')) |