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import streamlit as st | |
from transformers import pipeline | |
def analyze_sentiment(text): | |
sentiment_pipe = pipeline("sentiment-analysis") | |
result = sentiment_pipe(text) | |
return result | |
def main(): | |
st.title("Sentiment Analysis App") | |
st.write("Enter text for sentiment analysis π π") | |
text = st.text_area("Text input") | |
if st.button("Analyze Sentiment"): | |
if text: | |
sentiment_result = analyze_sentiment(text) | |
sentiment_label = sentiment_result[0]['label'] | |
sentiment_score = sentiment_result[0]['score'] | |
st.write("Sentiment:", sentiment_label) | |
st.write("Confidence Score:", sentiment_score) | |
if __name__ == "__main__": | |
main() |