import streamlit as st
from transformers import pipeline

def getPipeline():
    return pipeline("summarization")

def btnSummarizeAction(text):
    summarizer = getPipeline()
    output = summarizer(text)
    st.write("# Summary")
    st.write(output[0]['summary_text'])
    

def app():
    st.title("Summarization App")
    st.write("This is my first app using the Hugging Face transformers library.")
    text = st.text_area('Text to summarize', 'Enter text here...')

    if st.button('Summarize'):
        if text is not None:
            btnSummarizeAction(text)
        else:
            st.write("Please enter some text to summarize")

if __name__ == "__main__":
    app()