import gradio as gr
from transformers import pipeline

hub_model_id = "greatdaveo/pegasus-findsum"
summarizer = pipeline("summarization", model=hub_model_id)
def summarize_text(document):
    summary = summarizer(document, max_length=150, min_length=30, do_sample=False)
    return summary[0]['summary_text']
iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, placeholder="Enter text here..."),
    outputs="text",
    title="Financial Document Summarizer",
    description="Summarize text using the greatdaveo/pegasus-findsum model."
)
iface.launch()