app.py

import os
import io
import base64 

from transformers import pipeline
import gradio as gr

hf_api_key = os.environ['HF_API_KEY']

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

def summarize(input):
    output = get_completion(input)
    return output[0]['summary_text']

# Create Gradio interface
demo = gr.Interface(fn=summarize, 
                    inputs=[gr.Textbox(label="Text to summarize", lines=6)],
                    outputs=[gr.Textbox(label="Result", lines=3)],
                    title="Text summarization with distilbart-cnn",
                    description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
                   )
demo.launch(
    share=True, 
    # server_port=int(os.environ.get('PORT1', 7860))  # Uncomment if needed
)