| import streamlit as st | |
| from transformers import pipeline | |
| def summarize_text(text): | |
| model = pipeline("text-classification", model = "cross-encoder/qnli-electra-base") | |
| text_input = model(text) | |
| return text_input | |
| def main(): | |
| user_input = st.text_area("Input Text Here") | |
| if st.button("Sentiment"): | |
| summary = summarize_text(user_input) | |
| st.write("Sentiment:") | |
| st.write(summary) | |
| if __name__ == "__main__": | |
| main() |