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from engine import SentimentAnalyzer | |
import streamlit as st | |
# Load the sentiment analysis model from Hugging Face | |
sentiment_analysis = SentimentAnalyzer() | |
# Define the Streamlit app interface | |
st.title("User Sentiment Analysis") | |
sentence = st.text_input("Enter a sentence:") | |
# Perform sentiment analysis on the input sentence | |
if sentence: | |
label = sentiment_analysis.get_sentiment(sentence) | |
# Display the sentiment analysis result to the user | |
st.write(f"Sentiment analysis result: {label}") |