import gradio as gr
from transformers import pipeline

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

def summarize_text(text, max_length=130, min_length=30):
    """
    Summarizes the input text.
    """
    if not text.strip():
        return "Please enter some text to summarize."

    summary = summarizer(
        text,
        max_length=max_length,
        min_length=min_length,
        do_sample=False
    )[0]["summary_text"]

    return summary

# Gradio Interface
demo = gr.Interface(
    fn=summarize_text,
    inputs=[
        gr.Textbox(lines=10, placeholder="Enter text here...", label="Input Text"),
        gr.Slider(50, 200, value=130, step=10, label="Max Summary Length"),
        gr.Slider(20, 100, value=30, step=5, label="Min Summary Length")
    ],
    outputs=gr.Textbox(label="Summary"),
    title="Text Summarization App",
    description="Enter a long piece of text and get a concise summary using BART."
)

if __name__ == "__main__":
    demo.launch()