app.py

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

#model = GPT2Model.from_pretrained('LorenzoDeMattei/GePpeTto')
#tokenizer = GPT2Tokenizer.from_pretrained(
    #'LorenzoDeMattei/GePpeTto',
#)

text_generator = pipeline("text-generation", model=AutoModelWithLMHead.from_pretrained('azaninello/GPT2-icc-new'),
    tokenizer='LorenzoDeMattei/GePpeTto', 
    do_sample=True,
    max_length=200,
    top_k=50,
    top_p=0.95,
    repetition_penalty=9.5)

def generator(scrivi_qualcosa = ''):
  result = text_generator(scrivi_qualcosa, max_length=150) 
  return result[0]["generated_text"]

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