app.py

import gradio as gr
from transformers import pipeline
generator = pipeline("text-generation", model="distilgpt2")
def essay_generation(input_text):
  return generator(input_text,max_length=250)
iface = gr.Interface(essay_generation,inputs="text",outputs="text",title='Essay Generator APP',theme = "dark-peach",examples=["what is data science?","What is Natural Language Processing","What is Time series?"], description="This app helps in generating text upto 250 characters.")
iface.launch(inline=False)