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import streamlit as st
from transformers import pipeline
# Load the summarization model
summarizer = pipeline("summarization")
# Streamlit app layout
st.title("Text Summarization App")
st.write("Enter text below to get a summary.")
# Text input area for user to input text
input_text = st.text_area("Input Text", height=300)
# Summarize button
if st.button("Summarize"):
if input_text.strip():
with st.spinner("Summarizing..."):
# Generate the summary
summary = summarizer(input_text, max_length=130, min_length=30, do_sample=False)
st.success("Summary complete!")
st.write("**Summary:**")
st.write(summary[0]['summary_text'])
else:
st.warning("Please enter some text to summarize.")
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