app.py

import gradio as gr
import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

shroom_generator = pipeline("text-generation", model=AutoModelForCausalLM.from_pretrained('LorenzoDeMattei/GePpeTto'), tokenizer="gpt2")

def generator(inizia_la_storia = ''):
  shroom_result = shroom_generator(inizia_la_storia, max_length=420) 
  return shroom_result[0]["generated_text"]

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