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"""
Sentiment analysis streamlit webpage
"""
import streamlit as st
from sentiment_classificator import classify_sentiment
def get_representative_emoji(sentiment: str) -> str:
"""
From a sentiment return the representative emoji
"""
if sentiment == 'positive':
return "😃"
elif sentiment == 'negative':
return "😞"
else:
return "😐"
def main() -> None:
"""
Build streamlit page for sentiment analysis
"""
st.title("Sentiment Classification")
# Initialize session state variables
if 'enter_pressed' not in st.session_state:
st.session_state.enter_pressed = False
# Input text box and button
input_text = st.text_input("Enter your text here:")
button_clicked = st.button("Classify Sentiment")
if button_clicked or st.session_state.enter_pressed:
# Process the input text with the sentiment classifier
sentiment = classify_sentiment(input_text)
# Get the representative emoji
emoji = get_representative_emoji(sentiment)
# Show the response and emoji
st.write(f"Sentiment: {sentiment.capitalize()} {emoji}")
if __name__ == "__main__":
main()
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