app.py

import gradio as gr
from transformers import pipeline

generator = pipeline("summarization", model="Falconsai/medical_summarization")

def generate_response(input_text):
    response = generator(input_text, max_length=50)
    return response[0]['generated_text1']

interface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
interface.launch(share=True)