app.py

import streamlit as st
# from transformers import pipeline


# pipe = pipeline("text-classification", model="Beehzod/smart_sentiment_analysis")

# text = st.text_area('enter text: ')

# if text:
#     out = pipe(text)
#     st.json(out)

from transformers import pipeline


sentiment_pipeline = pipeline("sentiment-analysis", model="Beehzod/smart_sentiment_analysis")


text = st.text_area('enter text: ')
results = sentiment_pipeline(text)

for result in results:
    #print(f"Label: {result['label']}, Score: {result['score']:.4f}")
    st.json(result)