app.py

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

model = GPT2Model.from_pretrained('micrem73/GePpeTto-finetuned-ricettetrentine')
tokenizer = GPT2Tokenizer.from_pretrained(
    'micrem73/GePpeTto-finetuned-ricettetrentine',
)

shroom_generator = pipeline("text-generation", model=AutoModelWithLMHead.from_pretrained('micrem73/GePpeTto-finetuned-ricettetrentine'),
    tokenizer='micrem73/GePpeTto-finetuned-ricettetrentine', 
    do_sample=True,
    max_length=100,
    top_k=50,
    top_p=0.95,)

def generator(inizia_la_storia = ''):
  shroom_result = shroom_generator(inizia_la_storia, max_length=520) 
  return shroom_result[0]["generated_text"]

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