app.py

import streamlit as st
from utils import *

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

########## Create Input field ##########
feedback = st.text_input('Type your text here', 'The website was user friendly and the agent provided good solutions')

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 topics: {result[:-1]}. The sentiment of this text is {result[-1]}.')

st.write("\n")    
st.subheader('Or... Upload a csv file if you have a file instead.')
st.write("\n")

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

st.download_button(
     label="Download sample file here",
     data=sample_file,
     file_name='sample_results.csv',
     mime='text/csv',
 )

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',
     )