app.py

import gradio as gr
import transformers
from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline
from transformers import GPT2Tokenizer, GPT2Model

model = GPT2Model.from_pretrained('gpt2')
tokenizer = GPT2Tokenizer.from_pretrained(
    'gpt2',
)

generator = pipeline("text-generation", model=AutoModelWithLMHead.from_pretrained('gpt2'),
    tokenizer='gpt2', 
    do_sample=True,
    max_length=120,
    top_k=50,
    top_p=0.95,)

def generator(start_your_text = ''):
  shroom_result = generator(start_your_text, max_length=120) 
  return shroom_result[0]["generated_text"]

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