File size: 363 Bytes
456ebb9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
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"])
|