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import streamlit as st
from transformers import pipeline
st.title("Hugging Face Demo")
text = st.text_input("Enter text to analyze: ")
@st.cache_resource
def get_model():
return pipeline("sentiment-analysis")
model = get_model()
if text:
result = model(text)
st.write("Sentiment: ", result[0]["label"])
st.write("Confidence: ", result[0]["score"]) |