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2fcc45c 31a082a 2fcc45c 31a082a 2fcc45c 31a082a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | import streamlit as st
from transformers import pipeline
# Load the sentiment analysis pipeline
sentiment_pipeline = pipeline("sentiment-analysis")
# Streamlit interface
st.title("Sentiment Analysis with Hugging Face Transformers")
# Input text box
user_input = st.text_area("Enter text to analyze sentiment:", "I love using Hugging Face transformers!")
# Analyze sentiment button
if st.button("Analyze Sentiment"):
# Perform sentiment analysis
result = sentiment_pipeline(user_input)
# Display the result
sentiment = result[0]['label']
confidence = result[0]['score']
st.write(f"Sentiment: **{sentiment}**")
st.write(f"Confidence: **{confidence:.4f}**")
# To run the Streamlit app, use the command:
# streamlit run your_script_name.py
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