import gradio as gr
from transformers import pipeline

# Load the text summarization pipeline
summarizer = pipeline("summarization", model="astro21/bart-cls")

def summarize_text(input_text):
    # Use the summarization pipeline to generate a summary
    summarized_text = summarizer(input_text, max_length=128, min_length=64, do_sample=False, wait_for_model=True)
    return summarized_text[0]['summary_text']

demo = gr.Interface(fn= summarize_text , inputs="text", outputs="text")

demo.launch()