import gradio as gr
from transformers import pipeline

# Initialize the summarization pipeline
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")

def summarize_text(text):
    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
    return summary[0]['summary_text']

# Create a Gradio interface
iface = gr.Interface(
    fn=summarize_text,
    inputs="text",
    outputs="text",
    title="Text Summarization",
    description="Enter text to summarize it using the BART model."
)

# Launch the Gradio app
if __name__ == "__main__":
    iface.launch()