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import streamlit as st
import plotly.express as px
from plotly.subplots import make_subplots
from utils import *
########## Title for the Web App ##########
st.title("Text Classification for HC")
########## Create Input field ##########
feedback = st.text_input('Type your text here', 'Customer suggested that the customer service needs to be improved and the response time needs to be improved.')
if st.button('Click for predictions!'):
with st.spinner('Generating predictions...'):
topics_prob, sentiment_prob, touchpoint_prob = get_single_prediction(feedback)
bar_topic = px.bar(topics_prob, x='probability', y='topic')
bar_touchpoint = px.bar(touchpoint_prob, x='probability', y='touchpoint')
pie = px.pie(sentiment_prob,
values='probability',
names='sentiment',
color_discrete_map={'positive':'rgb(0, 204, 0)',
'negative':'rgb(215, 11, 11)'
},
color='sentiment'
)
st.plotly_chart(bar_topic, use_container_width=True)
st.plotly_chart(bar_touchpoint, use_container_width=True)
st.plotly_chart(pie, use_container_width=True)
st.write("\n")
st.subheader('Or... Upload a csv file if you have a file instead.')
st.write("\n")
st.download_button(
label="Download sample file here",
data=sample_file,
file_name='sample_data.csv',
mime='text/csv',
)
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',
)
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