import gradio as gr
from transformers import pipeline

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

def make_summary(article, max_length=130, min_length=30, do_sample=False):
    return summarizer(article, max_length, min_length, do_sample)

def get_entities(article):
    return ner(article)

iface = gr.Interface(fn=[make_summary, get_entities], inputs="text", outputs="text")
iface.launch()