text_class_app.py

import streamlit as st
import utils

########## Title for the Web App ##########
st.title("Text Classification for Service Feedback")

########## Create Input field ##########
feedback = st.text_input('Type your text here', 'The staff were extremely polite and helpful!')

if st.button('Click for predictions!'):
    with st.spinner('Generating predictions...'):
        
        result = get_single_prediction(feedback)
    
    st.success(f'Your text has been predicted to fall under the following labels: {result[:-1]}. This text is {result[-1]}.')

st.text('Or... Upload a csv file if you have many texts')

uploaded_file = st.file_uploader("Please upload a csv file with only 1 column of texts.")

if uploaded_file is not None:
    
    with st.spinner('Generating predictions...'):
        results = get_multiple_predictions(uploaded_file)
    
    st.download_button(
     label="Download results as CSV",
     data=results,
     file_name='results.csv',
     mime='text/csv',
     )