app.py

import streamlit as st
import pickle
from text_preprocessor import TextPreprocessor

# Load the pickle model
with open('text_preprocessor_model.pkl', 'rb') as f:
    preprocessor = pickle.load(f)

# Streamlit app
st.title('Text Preprocessing App')

# Text input from user
text = st.text_area('Enter text to preprocess:', '')

if st.button('Preprocess Text'):
    if text:
        # Preprocess the input text
        cleaned_text = preprocessor.preprocess(text)
        st.write('Preprocessed Text: \n \t', cleaned_text)
    else:
        st.write('Please enter some text.')