import gradio as gr
from transformers import pipeline

dialogpt = pipeline("text-generation", model="microsoft/DialoGPT-medium")

def respond(context):
    response = dialogpt(context, max_length=100, do_sample=True)
    return response[0]['generated_text'][len(context):]

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