app.py

# Use a pipeline as a high-level helper
from transformers import pipeline
import gradio as gr
import os

pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")

def summarize(input):
    output = pipe(input)
    return output
    
gr.close_all()
demo = gr.Interface(fn=summarize, inputs="text", outputs="text")
demo.launch(share=True, server_port=int(os.environ['PORT1']))