import gradio as gr
from transformers import pipeline


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

def summarize_text(text, min_length, max_length):
    if len(text.strip()) == 0:
        return "Please enter some text to summarize."
    
    summary = summarizer(text, max_length=max_length, min_length=min_length, do_sample=False)
    return summary[0]['summary_text']


iface = gr.Interface(
    fn=summarize_text,
    inputs=[
        gr.Textbox(lines=5, placeholder="Enter a long text here...", label="Input Text"),
        gr.Slider(10, 50, step=5, label="Minimum Summary Length"),
        gr.Slider(50, 150, step=10, label="Maximum Summary Length"),
    ],
    outputs=gr.Textbox(label="Summarized Text"),
    title="Adjustable Text Summarization App",
    description="Enter a long text and adjust the summary length using the sliders.",
    allow_flagging="never"
)


iface.launch()