app.py

import gradio as gr
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

def summarize(text):
    checkpoint = "sshleifer/distilbart-cnn-12-6"
    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
    model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)

    inputs = tokenizer(text, truncation=True, return_tensors="pt").input_ids
    outputs = model.generate(inputs, max_new_tokens=100, do_sample=False)

    return tokenizer.decode(outputs[0], skip_special_tokens=True)

iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
iface.launch()