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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 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...'): | |
| topics_prob, sentiment_prob = get_single_prediction(feedback) | |
| bar = px.bar(topics_prob, x='probability', y='topic') | |
| 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, 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', | |
| ) | |