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import streamlit as st | |
from transformers import pipeline | |
# Load a pre-trained sentiment-analysis pipeline | |
classifier = pipeline("sentiment-analysis") | |
# Streamlit app | |
st.title("Sentiment Analysis with Hugging Face Transformers") | |
st.write("Enter text below to analyze sentiment:") | |
# Text input | |
user_input = st.text_area("Text Input", "Enter your text here...") | |
if st.button("Analyze"): | |
# Perform sentiment analysis | |
results = classifier(user_input) | |
sentiment = results[0]['label'] | |
score = results[0]['score'] | |
# Display results | |
st.write(f"Sentiment: {sentiment}") | |
st.write(f"Confidence Score: {score:.2f}") |